GIGABYTE A5 X1
Geekbench ML Score
2931
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | Clementin |
| Upload Date | June 04 2025 05:31 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Famille (64-bit) |
| Model | GIGABYTE A5 X1 |
| Motherboard | GIGABYTE A5 X1 |
| Power Plan | Utilisation normale |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900HX |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.30 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% |
1250
233.8 IPS |
|
|
Image Classification (F16)
|
100% |
1232
230.4 IPS |
|
|
Image Classification (I8)
|
99% |
1046
195.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1481
24.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1462
24.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
1255
21.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
13150
15.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
13126
15.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
10653
12.9 IPS |
|
|
Object Detection (F32)
|
100% |
1240
92.6 IPS |
|
|
Object Detection (F16)
|
100% |
1244
92.9 IPS |
|
|
Object Detection (I8)
|
67% |
1113
83.1 IPS |
|
|
Face Detection (F32)
|
100% |
2903
34.5 IPS |
|
|
Face Detection (F16)
|
100% |
2890
34.4 IPS |
|
|
Face Detection (I8)
|
89% |
2224
26.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
7407
57.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
7424
57.6 IPS |
|
|
Depth Estimation (I8)
|
94% |
5800
45.0 IPS |
|
|
Style Transfer (F32)
|
100% |
22753
29.9 IPS |
|
|
Style Transfer (F16)
|
100% |
22755
29.9 IPS |
|
|
Style Transfer (I8)
|
98% |
17705
23.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4684
167.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4881
174.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3270
116.8 IPS |
|
|
Text Classification (F32)
|
100% |
1019
1.46 KIPS |
|
|
Text Classification (F16)
|
100% |
1026
1.47 KIPS |
|
|
Text Classification (I8)
|
98% |
669
961.9 IPS |
|
|
Machine Translation (F32)
|
100% |
1731
31.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1748
32.2 IPS |
|
|
Machine Translation (I8)
|
69% |
867
16.0 IPS |
