System manufacturer System Product Name
Geekbench ML Score
2675
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 24 2025 07:48 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% |
1209
226.3 IPS |
|
|
Image Classification (F16)
|
100% |
1210
226.4 IPS |
|
|
Image Classification (I8)
|
99% |
1006
188.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1332
22.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1337
22.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
1147
19.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
10721
13.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
10740
13.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
8913
10.8 IPS |
|
|
Object Detection (F32)
|
100% |
1235
92.2 IPS |
|
|
Object Detection (F16)
|
100% |
1223
91.3 IPS |
|
|
Object Detection (I8)
|
67% |
1074
80.1 IPS |
|
|
Face Detection (F32)
|
100% |
2792
33.2 IPS |
|
|
Face Detection (F16)
|
100% |
2789
33.2 IPS |
|
|
Face Detection (I8)
|
89% |
2109
25.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
6392
49.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
6397
49.6 IPS |
|
|
Depth Estimation (I8)
|
94% |
5080
39.4 IPS |
|
|
Style Transfer (F32)
|
100% |
18758
24.7 IPS |
|
|
Style Transfer (F16)
|
100% |
18700
24.6 IPS |
|
|
Style Transfer (I8)
|
98% |
15082
19.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4295
153.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4309
153.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2986
106.6 IPS |
|
|
Text Classification (F32)
|
100% |
950
1.36 KIPS |
|
|
Text Classification (F16)
|
100% |
955
1.37 KIPS |
|
|
Text Classification (I8)
|
98% |
611
877.6 IPS |
|
|
Machine Translation (F32)
|
100% |
1685
31.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1678
30.9 IPS |
|
|
Machine Translation (I8)
|
69% |
852
15.7 IPS |
