ASRock B650M-H/M.2+
Geekbench ML Score
5109
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 30 2024 01:33 AM |
| Views | 2 |
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% |
2975
556.6 IPS |
|
|
Image Classification (F16)
|
100% |
2957
553.4 IPS |
|
|
Image Classification (I8)
|
99% |
6122
1.15 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2346
39.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
2367
39.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
2533
42.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
8737
10.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
8760
10.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
29462
35.7 IPS |
|
|
Object Detection (F32)
|
100% |
2639
197.0 IPS |
|
|
Object Detection (F16)
|
100% |
2676
199.8 IPS |
|
|
Object Detection (I8)
|
62% |
2713
202.6 IPS |
|
|
Face Detection (F32)
|
100% |
4983
59.3 IPS |
|
|
Face Detection (F16)
|
100% |
5012
59.6 IPS |
|
|
Face Detection (I8)
|
89% |
6397
76.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
10242
79.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
10247
79.5 IPS |
|
|
Depth Estimation (I8)
|
96% |
20729
160.8 IPS |
|
|
Style Transfer (F32)
|
100% |
21706
28.6 IPS |
|
|
Style Transfer (F16)
|
100% |
21591
28.4 IPS |
|
|
Style Transfer (I8)
|
98% |
32266
42.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4289
153.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4313
154.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5312
189.7 IPS |
|
|
Text Classification (F32)
|
100% |
2454
3.53 KIPS |
|
|
Text Classification (F16)
|
100% |
2446
3.52 KIPS |
|
|
Text Classification (I8)
|
98% |
436
626.0 IPS |
|
|
Machine Translation (F32)
|
100% |
3198
58.9 IPS |
|
|
Machine Translation (F16)
|
100% |
3151
58.0 IPS |
|
|
Machine Translation (I8)
|
67% |
3991
73.4 IPS |
