System manufacturer System Product Name
Geekbench ML Score
2676
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 24 2025 07:41 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B450-PLUS |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600G |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 4.60 GHz |
| Cluster 1 | 6 Cores |
| L1 Instruction Cache | 32.0 KB x 6 |
| L1 Data Cache | 32.0 KB x 6 |
| L2 Cache | 512 KB x 6 |
| 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% |
1213
226.9 IPS |
|
|
Image Classification (F16)
|
100% |
1213
227.0 IPS |
|
|
Image Classification (I8)
|
99% |
1008
188.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1335
22.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1339
22.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
1149
19.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
10753
13.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
10753
13.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
8945
10.8 IPS |
|
|
Object Detection (F32)
|
100% |
1231
91.9 IPS |
|
|
Object Detection (F16)
|
100% |
1237
92.4 IPS |
|
|
Object Detection (I8)
|
67% |
1066
79.6 IPS |
|
|
Face Detection (F32)
|
100% |
2769
32.9 IPS |
|
|
Face Detection (F16)
|
100% |
2790
33.2 IPS |
|
|
Face Detection (I8)
|
89% |
2106
25.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
6240
48.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
6230
48.3 IPS |
|
|
Depth Estimation (I8)
|
94% |
4923
38.2 IPS |
|
|
Style Transfer (F32)
|
100% |
19076
25.1 IPS |
|
|
Style Transfer (F16)
|
100% |
19127
25.2 IPS |
|
|
Style Transfer (I8)
|
98% |
15413
20.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4328
154.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4321
154.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2978
106.4 IPS |
|
|
Text Classification (F32)
|
100% |
960
1.38 KIPS |
|
|
Text Classification (F16)
|
100% |
963
1.38 KIPS |
|
|
Text Classification (I8)
|
98% |
615
883.7 IPS |
|
|
Machine Translation (F32)
|
100% |
1675
30.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1676
30.8 IPS |
|
|
Machine Translation (I8)
|
69% |
848
15.6 IPS |
