ASRock B650 PG Lightning WiFi
Geekbench ML Score
4131
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | May 17 2025 08:18 AM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASRock B650 PG Lightning WiFi |
| Motherboard | ASRock B650 PG Lightning WiFi |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.80 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 | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2114
395.5 IPS |
|
|
Image Classification (F16)
|
100% |
2156
403.4 IPS |
|
|
Image Classification (I8)
|
99% |
5141
962.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1957
32.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1936
32.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
3204
53.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
6130
7.42 IPS |
|
|
Pose Estimation (F16)
|
100% |
6040
7.31 IPS |
|
|
Pose Estimation (I8)
|
100% |
21508
26.0 IPS |
|
|
Object Detection (F32)
|
100% |
1975
147.5 IPS |
|
|
Object Detection (F16)
|
100% |
2062
154.0 IPS |
|
|
Object Detection (I8)
|
62% |
2273
169.7 IPS |
|
|
Face Detection (F32)
|
100% |
3638
43.3 IPS |
|
|
Face Detection (F16)
|
100% |
3616
43.0 IPS |
|
|
Face Detection (I8)
|
89% |
5385
64.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
7274
56.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
7285
56.5 IPS |
|
|
Depth Estimation (I8)
|
96% |
14868
115.3 IPS |
|
|
Style Transfer (F32)
|
100% |
14916
19.6 IPS |
|
|
Style Transfer (F16)
|
100% |
15458
20.3 IPS |
|
|
Style Transfer (I8)
|
98% |
24272
31.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3224
115.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2978
106.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4358
155.6 IPS |
|
|
Text Classification (F32)
|
100% |
1860
2.67 KIPS |
|
|
Text Classification (F16)
|
100% |
1690
2.43 KIPS |
|
|
Text Classification (I8)
|
98% |
1402
2.01 KIPS |
|
|
Machine Translation (F32)
|
100% |
2393
44.0 IPS |
|
|
Machine Translation (F16)
|
100% |
2454
45.2 IPS |
|
|
Machine Translation (I8)
|
67% |
4284
78.8 IPS |
