ASRock B650 PG Lightning
Geekbench ML Score
20604
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 25 2024 07:58 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | ASRock B650 PG Lightning |
| Motherboard | ASRock B650 PG Lightning |
| Power Plan | Wysoka wydajno |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7500F |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.70 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 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
8816
1.65 KIPS |
|
|
Image Classification (F16)
|
100% |
9460
1.77 KIPS |
|
|
Image Classification (I8)
|
100% |
7899
1.48 KIPS |
|
|
Image Segmentation (F32)
|
100% |
16738
279.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
15961
266.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
14808
247.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
141548
171.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
141840
171.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
126085
152.7 IPS |
|
|
Object Detection (F32)
|
100% |
6324
472.1 IPS |
|
|
Object Detection (F16)
|
100% |
6635
495.3 IPS |
|
|
Object Detection (I8)
|
63% |
5864
437.8 IPS |
|
|
Face Detection (F32)
|
100% |
28947
344.2 IPS |
|
|
Face Detection (F16)
|
100% |
29871
355.2 IPS |
|
|
Face Detection (I8)
|
89% |
25388
301.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
57286
444.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
52310
405.7 IPS |
|
|
Depth Estimation (I8)
|
94% |
43140
334.6 IPS |
|
|
Style Transfer (F32)
|
100% |
242370
318.8 IPS |
|
|
Style Transfer (F16)
|
100% |
242280
318.7 IPS |
|
|
Style Transfer (I8)
|
98% |
213205
280.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
42156
1.51 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
42700
1.52 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
30624
1.09 KIPS |
|
|
Text Classification (F32)
|
100% |
2753
3.96 KIPS |
|
|
Text Classification (F16)
|
100% |
2759
3.96 KIPS |
|
|
Text Classification (I8)
|
98% |
1780
2.56 KIPS |
|
|
Machine Translation (F32)
|
100% |
4897
90.1 IPS |
|
|
Machine Translation (F16)
|
100% |
4865
89.5 IPS |
|
|
Machine Translation (I8)
|
70% |
2563
47.2 IPS |
