ASRock B650M-HDV/M.2
Geekbench ML Score
7457
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 20 2024 09:11 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock B650M-HDV/M.2 |
| Motherboard | ASRock B650M-HDV/M.2 |
| Power Plan | Ryzen 7000 High Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9700X 8-Core Processor |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 48.0 KB x 8 |
| L2 Cache | 1.00 MB x 8 |
| L3 Cache | 32.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4548
851.1 IPS |
|
|
Image Classification (F16)
|
100% |
4318
808.1 IPS |
|
|
Image Classification (I8)
|
99% |
8800
1.65 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2801
46.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
2960
49.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
3234
54.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
17589
21.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
17685
21.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
54497
66.0 IPS |
|
|
Object Detection (F32)
|
100% |
3799
283.6 IPS |
|
|
Object Detection (F16)
|
100% |
4228
315.7 IPS |
|
|
Object Detection (I8)
|
62% |
3190
238.1 IPS |
|
|
Face Detection (F32)
|
100% |
6654
79.1 IPS |
|
|
Face Detection (F16)
|
100% |
6296
74.9 IPS |
|
|
Face Detection (I8)
|
89% |
8074
96.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
17583
136.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
12116
94.0 IPS |
|
|
Depth Estimation (I8)
|
96% |
30110
233.5 IPS |
|
|
Style Transfer (F32)
|
100% |
32580
42.9 IPS |
|
|
Style Transfer (F16)
|
100% |
35455
46.6 IPS |
|
|
Style Transfer (I8)
|
98% |
43067
56.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7447
266.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7550
269.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
8398
299.9 IPS |
|
|
Text Classification (F32)
|
100% |
3549
5.10 KIPS |
|
|
Text Classification (F16)
|
100% |
3527
5.07 KIPS |
|
|
Text Classification (I8)
|
98% |
588
844.9 IPS |
|
|
Machine Translation (F32)
|
100% |
4592
84.5 IPS |
|
|
Machine Translation (F16)
|
100% |
4443
81.8 IPS |
|
|
Machine Translation (I8)
|
67% |
4883
89.9 IPS |
