ASRock B650M-H/M.2+
Geekbench ML Score
5081
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | December 29 2024 12:31 AM |
| Views | 6 |
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% |
2747
514.1 IPS |
|
|
Image Classification (F16)
|
100% |
2803
524.5 IPS |
|
|
Image Classification (I8)
|
99% |
4709
881.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1550
25.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1549
25.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
3958
66.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
8683
10.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
8692
10.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
28726
34.8 IPS |
|
|
Object Detection (F32)
|
100% |
2703
201.8 IPS |
|
|
Object Detection (F16)
|
100% |
2698
201.4 IPS |
|
|
Object Detection (I8)
|
62% |
2495
186.2 IPS |
|
|
Face Detection (F32)
|
100% |
4847
57.6 IPS |
|
|
Face Detection (F16)
|
100% |
4820
57.3 IPS |
|
|
Face Detection (I8)
|
89% |
6244
74.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
10175
78.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
10091
78.3 IPS |
|
|
Depth Estimation (I8)
|
96% |
19712
152.9 IPS |
|
|
Style Transfer (F32)
|
100% |
21460
28.2 IPS |
|
|
Style Transfer (F16)
|
100% |
21326
28.1 IPS |
|
|
Style Transfer (I8)
|
98% |
28655
37.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4346
155.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4318
154.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5090
181.8 IPS |
|
|
Text Classification (F32)
|
100% |
2457
3.53 KIPS |
|
|
Text Classification (F16)
|
100% |
2471
3.55 KIPS |
|
|
Text Classification (I8)
|
98% |
1668
2.40 KIPS |
|
|
Machine Translation (F32)
|
100% |
2870
52.8 IPS |
|
|
Machine Translation (F16)
|
100% |
2971
54.7 IPS |
|
|
Machine Translation (I8)
|
67% |
3481
64.1 IPS |
