ASRock B650 PG Lightning WiFi
Geekbench ML Score
23055
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 17 2024 02:57 PM |
| Views | 4 |
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 | DirectML |
| Device | NVIDIA GeForce RTX 4070 SUPER |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
10707
2.00 KIPS |
|
|
Image Classification (F16)
|
100% |
10259
1.92 KIPS |
|
|
Image Classification (I8)
|
100% |
9276
1.74 KIPS |
|
|
Image Segmentation (F32)
|
100% |
17874
298.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
17706
295.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
16354
273.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
164196
198.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
164069
198.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
147258
178.3 IPS |
|
|
Object Detection (F32)
|
100% |
6508
485.8 IPS |
|
|
Object Detection (F16)
|
100% |
7105
530.4 IPS |
|
|
Object Detection (I8)
|
63% |
6598
492.6 IPS |
|
|
Face Detection (F32)
|
100% |
33760
401.4 IPS |
|
|
Face Detection (F16)
|
100% |
34646
411.9 IPS |
|
|
Face Detection (I8)
|
89% |
29064
345.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
64399
499.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
60972
472.8 IPS |
|
|
Depth Estimation (I8)
|
94% |
50259
389.8 IPS |
|
|
Style Transfer (F32)
|
100% |
283247
372.6 IPS |
|
|
Style Transfer (F16)
|
100% |
280495
369.0 IPS |
|
|
Style Transfer (I8)
|
98% |
252100
331.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
47405
1.69 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
46391
1.66 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
33734
1.20 KIPS |
|
|
Text Classification (F32)
|
100% |
3095
4.45 KIPS |
|
|
Text Classification (F16)
|
100% |
3079
4.42 KIPS |
|
|
Text Classification (I8)
|
98% |
1932
2.78 KIPS |
|
|
Machine Translation (F32)
|
100% |
5034
92.6 IPS |
|
|
Machine Translation (F16)
|
100% |
5009
92.2 IPS |
|
|
Machine Translation (I8)
|
70% |
2589
47.6 IPS |
