B450M-HDV R4.0
Geekbench ML Score
2968
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | February 06 2025 11:21 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | B450M-HDV R4.0 |
| Motherboard | ASRock B450M-HDV R4.0 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700GE |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 512 KB x 8 |
| L3 Cache | 16.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1300
243.3 IPS |
|
|
Image Classification (F16)
|
100% |
1322
247.3 IPS |
|
|
Image Classification (I8)
|
99% |
1088
203.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1491
24.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1489
24.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
1267
21.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
12639
15.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
12649
15.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
10421
12.6 IPS |
|
|
Object Detection (F32)
|
100% |
1220
91.1 IPS |
|
|
Object Detection (F16)
|
100% |
1221
91.1 IPS |
|
|
Object Detection (I8)
|
67% |
1082
80.8 IPS |
|
|
Face Detection (F32)
|
100% |
3012
35.8 IPS |
|
|
Face Detection (F16)
|
100% |
3019
35.9 IPS |
|
|
Face Detection (I8)
|
89% |
2315
27.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
7789
60.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
7759
60.2 IPS |
|
|
Depth Estimation (I8)
|
94% |
5965
46.3 IPS |
|
|
Style Transfer (F32)
|
100% |
22592
29.7 IPS |
|
|
Style Transfer (F16)
|
100% |
22672
29.8 IPS |
|
|
Style Transfer (I8)
|
98% |
17809
23.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4847
173.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4859
173.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3304
118.0 IPS |
|
|
Text Classification (F32)
|
100% |
1007
1.45 KIPS |
|
|
Text Classification (F16)
|
100% |
1008
1.45 KIPS |
|
|
Text Classification (I8)
|
98% |
668
959.9 IPS |
|
|
Machine Translation (F32)
|
100% |
1799
33.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1769
32.6 IPS |
|
|
Machine Translation (I8)
|
69% |
914
16.8 IPS |
