ASRock B650M-H/M.2+
Geekbench ML Score
5326
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 31 2024 11:46 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock B650M-H/M.2+ |
| Motherboard | ASRock B650M-H/M.2+ |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7700 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 1.00 MB x 8 |
| 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% |
2951
552.2 IPS |
|
|
Image Classification (F16)
|
100% |
2921
546.7 IPS |
|
|
Image Classification (I8)
|
99% |
5991
1.12 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2033
34.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
2066
34.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
3318
55.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
8725
10.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
8725
10.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
29325
35.5 IPS |
|
|
Object Detection (F32)
|
100% |
2745
204.9 IPS |
|
|
Object Detection (F16)
|
100% |
2750
205.3 IPS |
|
|
Object Detection (I8)
|
62% |
2493
186.1 IPS |
|
|
Face Detection (F32)
|
100% |
5061
60.2 IPS |
|
|
Face Detection (F16)
|
100% |
4997
59.4 IPS |
|
|
Face Detection (I8)
|
89% |
6446
76.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
10097
78.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
10172
78.9 IPS |
|
|
Depth Estimation (I8)
|
96% |
20327
157.6 IPS |
|
|
Style Transfer (F32)
|
100% |
21377
28.1 IPS |
|
|
Style Transfer (F16)
|
100% |
21012
27.6 IPS |
|
|
Style Transfer (I8)
|
98% |
31195
41.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4369
156.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4367
156.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5264
188.0 IPS |
|
|
Text Classification (F32)
|
100% |
2403
3.45 KIPS |
|
|
Text Classification (F16)
|
100% |
2402
3.45 KIPS |
|
|
Text Classification (I8)
|
98% |
1658
2.38 KIPS |
|
|
Machine Translation (F32)
|
100% |
3162
58.2 IPS |
|
|
Machine Translation (F16)
|
100% |
3209
59.1 IPS |
|
|
Machine Translation (I8)
|
67% |
4418
81.3 IPS |
