ASRock B650 PG Lightning WiFi
Geekbench ML Score
4417
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | June 24 2024 01:51 PM |
| Views | 13 |
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 8600G |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 4.35 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 | 16.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon 760M Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2369
443.3 IPS |
|
|
Image Classification (F16)
|
100% |
2395
448.1 IPS |
|
|
Image Classification (I8)
|
100% |
1856
347.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
2392
39.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
2393
40.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
2057
34.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
31536
38.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
31611
38.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
23800
28.8 IPS |
|
|
Object Detection (F32)
|
100% |
1635
122.1 IPS |
|
|
Object Detection (F16)
|
100% |
1603
119.7 IPS |
|
|
Object Detection (I8)
|
62% |
1471
109.8 IPS |
|
|
Face Detection (F32)
|
100% |
4565
54.3 IPS |
|
|
Face Detection (F16)
|
100% |
4630
55.1 IPS |
|
|
Face Detection (I8)
|
89% |
3535
42.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
13357
103.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
13138
101.9 IPS |
|
|
Depth Estimation (I8)
|
95% |
10875
84.3 IPS |
|
|
Style Transfer (F32)
|
100% |
23788
31.3 IPS |
|
|
Style Transfer (F16)
|
100% |
25373
33.4 IPS |
|
|
Style Transfer (I8)
|
98% |
22903
30.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4134
147.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3934
140.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3357
119.9 IPS |
|
|
Text Classification (F32)
|
100% |
1419
2.04 KIPS |
|
|
Text Classification (F16)
|
100% |
1540
2.21 KIPS |
|
|
Text Classification (I8)
|
98% |
1250
1.80 KIPS |
|
|
Machine Translation (F32)
|
100% |
2198
40.4 IPS |
|
|
Machine Translation (F16)
|
100% |
2199
40.5 IPS |
|
|
Machine Translation (I8)
|
70% |
1402
25.8 IPS |
