dojdina
Signed up 103 months ago
| ID | Name | Platform | Architecture | Single-core Score | Multi-core Score |
|---|---|---|---|---|---|
| 14002645 | Xiaomi 25040RP0AG ARM ARMv8 2000 MHz (8 cores) | Android | AArch64 | 720 | 1917 |
| 11293362 | Xiaomi M2103K19G ARM MT6833 2000 MHz (8 cores) | Android | AArch64 | 710 | 1831 |
| 11293352 | HONOR ELP-NX9 ARM ARMv8 2016 MHz (8 cores) | Android | AArch64 | 1407 | 4275 |
| 11292720 | Xiaomi Redmi Note 5 AI Qualcomm Qualcomm 1612 MHz (8 cores) | Android | AArch64 | 297 | 1106 |
| 11195607 | ASUSTeK Computer Inc. B53E Intel Core i3-2350M 2294 MHz (2 cores) | Windows | x64 | 381 | 786 |
| 10926965 | Generic AMD Ryzen 5 5600X 4101 MHz (6 cores) | Windows | x64 | 1929 | 8863 |
| 10926840 | HONOR ELP-NX9 ARM ARMv8 2016 MHz (8 cores) | Android | AArch64 | 1567 | 4427 |
| 8574593 | Generic AMD Ryzen 5 5600X 4101 MHz (6 cores) | Windows | x64 | 1849 | 8179 |
| ID | Model | Compute API | Platform | Compute Score |
|---|---|---|---|---|
| 4860707 | Xiaomi 25040RP0AG Mali-G57 MC2 | Vulkan | Android 64-bit | 1254 |
| 4860654 | Xiaomi 25040RP0AG Mali-G57 MC2 r0p1 | OpenCL | Android 64-bit | 1263 |
| 3931951 | HONOR ELP-NX9 Adreno (TM) 735 | Vulkan | Android 64-bit | 9929 |
| 3931935 | HONOR ELP-NX9 QUALCOMM Adreno(TM) 735 | OpenCL | Android 64-bit | 8634 |
| 3931839 | Xiaomi Redmi Note 5 AI Adreno (TM) 509 | Vulkan | Android 64-bit | 195 |
| 3795968 | Generic NVIDIA GeForce RTX 4070 SUPER | OpenCL | Windows 64-bit | 191031 |
| 3795948 | HONOR ELP-NX9 QUALCOMM Adreno(TM) 735 | OpenCL | Android 64-bit | 8786 |
| ID | Name | Framework | Backend | Single Precision | Half Precision | Quantized |
|---|---|---|---|---|---|---|
| 344216 | HONOR ELP-NX9 ARM ARMv8 | TensorFlow Lite | QNN | 349 | 350 | 24584 |
| 344197 | HONOR ELP-NX9 ARM ARMv8 | TensorFlow Lite | NNAPI | 356 | 347 | 779 |
| 344194 | Xiaomi 25040RP0AG ARM ARMv8 | TensorFlow Lite | GPU | 287 | 477 | 393 |
| 344191 | Xiaomi 25040RP0AG ARM ARMv8 | TensorFlow Lite | CPU | 505 | 505 | 931 |
| 344188 | HONOR ELP-NX9 ARM ARMv8 | TensorFlow Lite | GPU | 1315 | 2026 | 1551 |
| 344173 | HONOR ELP-NX9 ARM ARMv8 | TensorFlow Lite | CPU | 1175 | 1296 | 1545 |
| ID | Name | Platform | Architecture | Single-core Score | Multi-core Score |
|---|---|---|---|---|---|
| 14073557 | Xiaomi M2103K19G ARM MT6833 2000 MHz (8 cores) | Android | AArch64 | 528 | 1559 |
| 14072987 | Xiaomi Redmi Note 5 AI Qualcomm Qualcomm 1612 MHz (8 cores) | Android | AArch64 | 276 | 1239 |
| 6245132 | Xiaomi Redmi 6 ARM MT6762V/CB 2001 MHz (8 cores) | Android | ARMv7 | 138 | 490 |
| 6244762 | samsung SM-T290 ARM Qualcomm 2016 MHz (4 cores) | Android | AArch64 | 164 | 551 |
| 1359195 | Generic AMD Ryzen 5 1600 3493 MHz (6 cores) | Windows | x64 | 895 | 5197 |
| 1358966 | Xiaomi Redmi Note 5 AI Qualcomm Qualcomm 1612 MHz (8 cores) | Android | AArch64 | 275 | 1219 |
| 88447 | MSI MS-7788 Intel Xeon E3-1270 3391 MHz (4 cores) | Windows | x64 | 789 | 3014 |
| 54029 | MSI MS-7788 Intel Xeon E3-1270 3391 MHz (4 cores) | Windows | x64 | 750 | 2833 |
| ID | Model | Compute API | Platform | Compute Score |
|---|---|---|---|---|
| 4597434 | Xiaomi Redmi Note 5 AI QUALCOMM Adreno(TM) | OpenCL | Android 64-bit | 436 |
| 4597402 | Xiaomi M2103K19G Mali-G57 MC2 r0p1 | OpenCL | Android 64-bit | 1381 |
| 583797 | Generic GeForce RTX 2060 | OpenCL | Windows 64-bit | 71037 |
| 583791 | Xiaomi Redmi Note 5 AI QUALCOMM Adreno(TM) | OpenCL | Android 64-bit | 431 |
| 41810 | MSI MS-7788 GeForce RTX 2060 | OpenCL | Windows 64-bit | 72694 |
| 26609 | MSI MS-7788 GeForce RTX 2060 | OpenCL | Windows 64-bit | 70114 |
| ID | Name | Platform | Architecture | Single-core Score | Multi-core Score |
|---|---|---|---|---|---|
| 15278994 | Generic AMD Ryzen 5 1600 3493 MHz (6 cores) | Windows | x64 | 4092 | 19481 |
| 14726539 | DIGMA CITI 7591 3G CS7208MG ARM MT8321 1300 MHz (4 cores) | Android | ARMv7 | 440 | 1235 |
| 14557118 | MSI MS-7788 Intel Xeon E3-1270 3391 MHz (4 cores) | Windows | x64 | 3412 | 11327 |
| 13054081 | Xiaomi Redmi 6 ARM mt6762 2001 MHz (8 cores) | Android | ARMv7 | 824 | 3585 |
| 12765517 | MSI MS-7788 Intel Xeon E3-1270 3391 MHz (4 cores) | Windows | x64 | 3257 | 10256 |
| 12765423 | Xiaomi Redmi Note 5 Qualcomm Qualcomm 1612 MHz (8 cores) | Android | AArch64 | 1330 | 4823 |
| 9543863 | MSI MS-7788 Intel Celeron G1610 2593 MHz (2 cores) | Windows | x64 | 2545 | 4255 |
| 9479730 | samsung SM-J106F ARM sc8830 1500 MHz (4 cores) | Android | ARMv7 | 465 | 1188 |
| 9479437 | Vertex Impress_Lotus ARM MT6737 1248 MHz (4 cores) | Android | ARMv7 | 539 | 1494 |
| 2697848 | DIGMA CITI 7902 3G CS7066MG ARM MT8312C 1300 MHz (2 cores) | Android | ARMv7 | 365 | 589 |
| 2697819 | System manufacturer System Product Name AMD Phenom II X4 955 Black Edition 3415 MHz (4 cores) | Windows | x64 | 2186 | 6582 |
| ID | Model | Compute API | Platform | Compute Score |
|---|---|---|---|---|
| 4521423 | MSI MS-7788 GeForce RTX 2060 | OpenCL | Windows 64-bit | 215957 |
| 3928160 | Xiaomi Redmi Note 5 Xiaomi Redmi Note 5 | RenderScript | Android 64-bit | 4498 |
| 2800304 | MSI MS-7788 GeForce GTX 960 | OpenCL | Windows 64-bit | 82247 |
| 2779450 | samsung SM-J106F samsung SM-J106F | RenderScript | Android 32-bit | 821 |
| 2779372 | Vertex Impress_Lotus Vertex Impress_Lotus | RenderScript | Android 32-bit | 918 |
| 702914 | System manufacturer System Product Name GeForce GTX 960 | OpenCL | Windows 64-bit | 76948 |
| ID | Name | Platform | Single-core Score | Multi-core Score |
|---|---|---|---|---|
| 8767159 | Xiaomi Redmi Note 5 Qualcomm Qualcomm 1612 MHz (8 cores) | Android 32-bit | 1283 | 4857 |
| 8694101 | MSI MS-7788 Intel Xeon E3-1270 3391 MHz (4 cores) | Windows 32-bit | 2812 | 11346 |
| 8669274 | MSI MS-7788 Intel Celeron G1610 2593 MHz (2 cores) | Windows 32-bit | 2156 | 3751 |
| 8347230 | DIGMA CITI 7902 3G CS7066MG ARM MT8312C 1300 MHz (2 cores) | Android 32-bit | 304 | 559 |
| 8347087 | Spreadtrum Tesla ARM sc7731 1300 MHz (4 cores) | Android 32-bit | 337 | 1018 |
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