Micro-Star International Co., Ltd. MS-7E26
Geekbench ML Score
4229
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | June 07 2025 02:43 PM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E26 |
| Motherboard | Micro-Star International Co., Ltd. B650 GAMING PLUS WIFI (MS-7E26) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7500F |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| L1 Instruction Cache | 32.0 KB x 6 |
| L1 Data Cache | 32.0 KB x 6 |
| L2 Cache | 1.00 MB x 6 |
| L3 Cache | 32.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2248
420.6 IPS |
|
|
Image Classification (F16)
|
100% |
2457
459.8 IPS |
|
|
Image Classification (I8)
|
99% |
5398
1.01 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2191
36.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
2128
35.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
2412
40.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
6426
7.78 IPS |
|
|
Pose Estimation (F16)
|
100% |
6430
7.79 IPS |
|
|
Pose Estimation (I8)
|
100% |
22479
27.2 IPS |
|
|
Object Detection (F32)
|
100% |
1658
123.8 IPS |
|
|
Object Detection (F16)
|
100% |
2174
162.3 IPS |
|
|
Object Detection (I8)
|
62% |
2499
186.6 IPS |
|
|
Face Detection (F32)
|
100% |
4500
53.5 IPS |
|
|
Face Detection (F16)
|
100% |
4542
54.0 IPS |
|
|
Face Detection (I8)
|
89% |
5959
70.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
7849
60.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
7842
60.8 IPS |
|
|
Depth Estimation (I8)
|
96% |
17419
135.1 IPS |
|
|
Style Transfer (F32)
|
100% |
15918
20.9 IPS |
|
|
Style Transfer (F16)
|
100% |
14219
18.7 IPS |
|
|
Style Transfer (I8)
|
98% |
26806
35.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3314
118.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3070
109.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4925
175.9 IPS |
|
|
Text Classification (F32)
|
100% |
2087
3.00 KIPS |
|
|
Text Classification (F16)
|
100% |
1709
2.46 KIPS |
|
|
Text Classification (I8)
|
98% |
473
680.3 IPS |
|
|
Machine Translation (F32)
|
100% |
2931
53.9 IPS |
|
|
Machine Translation (F16)
|
100% |
2955
54.4 IPS |
|
|
Machine Translation (I8)
|
67% |
3788
69.7 IPS |
