GIGABYTE A5 X1
Geekbench ML Score
2945
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | Clementin |
| Upload Date | June 04 2025 05:29 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1744
326.3 IPS |
|
|
Image Classification (F16)
|
100% |
1812
339.0 IPS |
|
|
Image Classification (I8)
|
97% |
3376
631.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1326
22.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1335
22.3 IPS |
|
|
Image Segmentation (I8)
|
97% |
2405
40.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
3223
3.90 IPS |
|
|
Pose Estimation (F16)
|
100% |
3270
3.96 IPS |
|
|
Pose Estimation (I8)
|
100% |
10321
12.5 IPS |
|
|
Object Detection (F32)
|
100% |
1212
90.5 IPS |
|
|
Object Detection (F16)
|
100% |
1720
128.4 IPS |
|
|
Object Detection (I8)
|
60% |
1629
121.6 IPS |
|
|
Face Detection (F32)
|
100% |
2292
27.2 IPS |
|
|
Face Detection (F16)
|
100% |
2250
26.8 IPS |
|
|
Face Detection (I8)
|
87% |
3630
43.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
6313
49.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
6489
50.3 IPS |
|
|
Depth Estimation (I8)
|
74% |
10264
79.6 IPS |
|
|
Style Transfer (F32)
|
100% |
12571
16.5 IPS |
|
|
Style Transfer (F16)
|
100% |
12594
16.6 IPS |
|
|
Style Transfer (I8)
|
85% |
15026
19.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2303
82.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2517
89.9 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
2875
102.7 IPS |
|
|
Text Classification (F32)
|
100% |
1516
2.18 KIPS |
|
|
Text Classification (F16)
|
100% |
1626
2.34 KIPS |
|
|
Text Classification (I8)
|
94% |
1231
1.77 KIPS |
|
|
Machine Translation (F32)
|
100% |
1885
34.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1831
33.7 IPS |
|
|
Machine Translation (I8)
|
67% |
2176
40.0 IPS |
