Gigabyte Technology Co., Ltd. B650M GAMING WIFI
Geekbench ML Score
4023
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | January 09 2025 01:18 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B650M GAMING WIFI |
| Motherboard | Gigabyte Technology Co., Ltd. B650M GAMING WIFI |
| Power Plan | High performance |
| 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 | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2085
390.2 IPS |
|
|
Image Classification (F16)
|
100% |
2136
399.7 IPS |
|
|
Image Classification (I8)
|
99% |
4358
815.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1302
21.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1299
21.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
3215
53.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
6023
7.29 IPS |
|
|
Pose Estimation (F16)
|
100% |
6099
7.39 IPS |
|
|
Pose Estimation (I8)
|
100% |
20925
25.3 IPS |
|
|
Object Detection (F32)
|
100% |
2060
153.8 IPS |
|
|
Object Detection (F16)
|
100% |
2042
152.4 IPS |
|
|
Object Detection (I8)
|
62% |
2199
164.1 IPS |
|
|
Face Detection (F32)
|
100% |
3472
41.3 IPS |
|
|
Face Detection (F16)
|
100% |
3458
41.1 IPS |
|
|
Face Detection (I8)
|
89% |
5267
62.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
6929
53.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
7135
55.3 IPS |
|
|
Depth Estimation (I8)
|
96% |
15128
117.3 IPS |
|
|
Style Transfer (F32)
|
100% |
15205
20.0 IPS |
|
|
Style Transfer (F16)
|
100% |
15310
20.1 IPS |
|
|
Style Transfer (I8)
|
98% |
23678
31.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3167
113.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3217
114.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4392
156.9 IPS |
|
|
Text Classification (F32)
|
100% |
1934
2.78 KIPS |
|
|
Text Classification (F16)
|
100% |
1914
2.75 KIPS |
|
|
Text Classification (I8)
|
98% |
1531
2.20 KIPS |
|
|
Machine Translation (F32)
|
100% |
2551
46.9 IPS |
|
|
Machine Translation (F16)
|
100% |
2550
46.9 IPS |
|
|
Machine Translation (I8)
|
67% |
4250
78.2 IPS |
