Micro-Star International Co., Ltd. MS-7E26
Geekbench ML Score
4311
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 05 2024 09:37 AM |
| Views | 2 |
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% |
2384
446.1 IPS |
|
|
Image Classification (F16)
|
100% |
2378
444.9 IPS |
|
|
Image Classification (I8)
|
99% |
5350
1.00 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2231
37.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
2083
34.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
2406
40.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
5629
6.82 IPS |
|
|
Pose Estimation (F16)
|
100% |
6386
7.73 IPS |
|
|
Pose Estimation (I8)
|
100% |
22561
27.3 IPS |
|
|
Object Detection (F32)
|
100% |
2301
171.8 IPS |
|
|
Object Detection (F16)
|
100% |
2270
169.5 IPS |
|
|
Object Detection (I8)
|
62% |
2461
183.7 IPS |
|
|
Face Detection (F32)
|
100% |
4913
58.4 IPS |
|
|
Face Detection (F16)
|
100% |
4906
58.3 IPS |
|
|
Face Detection (I8)
|
89% |
5933
70.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
7252
56.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
6883
53.4 IPS |
|
|
Depth Estimation (I8)
|
96% |
17757
137.7 IPS |
|
|
Style Transfer (F32)
|
100% |
16438
21.6 IPS |
|
|
Style Transfer (F16)
|
100% |
16459
21.6 IPS |
|
|
Style Transfer (I8)
|
98% |
29233
38.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2888
103.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3488
124.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4987
178.1 IPS |
|
|
Text Classification (F32)
|
100% |
2079
2.99 KIPS |
|
|
Text Classification (F16)
|
100% |
2134
3.07 KIPS |
|
|
Text Classification (I8)
|
98% |
462
664.1 IPS |
|
|
Machine Translation (F32)
|
100% |
2884
53.1 IPS |
|
|
Machine Translation (F16)
|
100% |
2741
50.4 IPS |
|
|
Machine Translation (I8)
|
67% |
3794
69.8 IPS |
