Gigabyte Technology Co., Ltd. B650M DS3H
Geekbench ML Score
4335
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 28 2024 10:43 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B650M DS3H |
| Motherboard | Gigabyte Technology Co., Ltd. B650M DS3H |
| Power Plan | AMD Ryzen 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% |
2415
451.8 IPS |
|
|
Image Classification (F16)
|
100% |
2406
450.2 IPS |
|
|
Image Classification (I8)
|
99% |
5281
988.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
2139
35.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
2146
35.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
2383
39.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
6308
7.64 IPS |
|
|
Pose Estimation (F16)
|
100% |
6312
7.64 IPS |
|
|
Pose Estimation (I8)
|
100% |
22221
26.9 IPS |
|
|
Object Detection (F32)
|
100% |
2223
166.0 IPS |
|
|
Object Detection (F16)
|
100% |
2244
167.5 IPS |
|
|
Object Detection (I8)
|
62% |
2418
180.5 IPS |
|
|
Face Detection (F32)
|
100% |
4815
57.2 IPS |
|
|
Face Detection (F16)
|
100% |
4807
57.2 IPS |
|
|
Face Detection (I8)
|
89% |
6173
73.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
7705
59.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
7701
59.7 IPS |
|
|
Depth Estimation (I8)
|
96% |
17473
135.5 IPS |
|
|
Style Transfer (F32)
|
100% |
16241
21.4 IPS |
|
|
Style Transfer (F16)
|
100% |
16212
21.3 IPS |
|
|
Style Transfer (I8)
|
98% |
29379
38.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3457
123.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3404
121.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4906
175.2 IPS |
|
|
Text Classification (F32)
|
100% |
2100
3.02 KIPS |
|
|
Text Classification (F16)
|
100% |
2084
3.00 KIPS |
|
|
Text Classification (I8)
|
98% |
413
593.9 IPS |
|
|
Machine Translation (F32)
|
100% |
2833
52.1 IPS |
|
|
Machine Translation (F16)
|
100% |
2834
52.2 IPS |
|
|
Machine Translation (I8)
|
67% |
3748
69.0 IPS |
