ASRock B650 PG Lightning WiFi
Geekbench ML Score
23098
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | May 17 2025 08:20 AM |
| Views | 8 |
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% |
9999
1.87 KIPS |
|
|
Image Classification (F16)
|
100% |
10179
1.90 KIPS |
|
|
Image Classification (I8)
|
100% |
8779
1.64 KIPS |
|
|
Image Segmentation (F32)
|
100% |
17878
298.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
17828
297.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
16184
270.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
163387
197.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
163962
198.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
147677
178.8 IPS |
|
|
Object Detection (F32)
|
100% |
7455
556.6 IPS |
|
|
Object Detection (F16)
|
100% |
7177
535.8 IPS |
|
|
Object Detection (I8)
|
63% |
6729
502.4 IPS |
|
|
Face Detection (F32)
|
100% |
34831
414.2 IPS |
|
|
Face Detection (F16)
|
100% |
34944
415.5 IPS |
|
|
Face Detection (I8)
|
89% |
28933
344.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
67627
524.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
65276
506.2 IPS |
|
|
Depth Estimation (I8)
|
94% |
53062
411.5 IPS |
|
|
Style Transfer (F32)
|
100% |
284331
374.0 IPS |
|
|
Style Transfer (F16)
|
100% |
281663
370.5 IPS |
|
|
Style Transfer (I8)
|
98% |
255822
336.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
45818
1.64 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
45797
1.64 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
32680
1.17 KIPS |
|
|
Text Classification (F32)
|
100% |
2897
4.16 KIPS |
|
|
Text Classification (F16)
|
100% |
2903
4.17 KIPS |
|
|
Text Classification (I8)
|
98% |
1860
2.67 KIPS |
|
|
Machine Translation (F32)
|
100% |
4920
90.5 IPS |
|
|
Machine Translation (F16)
|
100% |
4909
90.3 IPS |
|
|
Machine Translation (I8)
|
70% |
2811
51.7 IPS |
