GIGABYTE A5 X1
Geekbench AI Score
3252
Single Precision Score
1386
Half Precision Score
4879
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Clementin |
| Upload Date | June 04 2025 05:47 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 5900HX |
| 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 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2876
534.9 IPS |
|
|
Image Classification (HP)
|
100% |
514
95.5 IPS |
|
|
Image Classification (Q)
|
96% |
5016
936.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1192
19.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
738
12.0 IPS |
|
|
Image Segmentation (Q)
|
97% |
2703
44.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5440
6.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
4132
4.82 IPS |
|
|
Pose Estimation (Q)
|
86% |
11791
13.9 IPS |
|
|
Object Detection (SP)
|
100% |
2594
205.7 IPS |
|
|
Object Detection (HP)
|
100% |
661
52.5 IPS |
|
|
Object Detection (Q)
|
58% |
3308
361.4 IPS |
|
|
Face Detection (SP)
|
100% |
4089
48.6 IPS |
|
|
Face Detection (HP)
|
100% |
1344
16.0 IPS |
|
|
Face Detection (Q)
|
96% |
7813
93.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7483
57.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2051
15.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
10326
82.4 IPS |
|
|
Style Transfer (SP)
|
100% |
12792
16.4 IPS |
|
|
Style Transfer (HP)
|
100% |
10752
13.8 IPS |
|
|
Style Transfer (Q)
|
87% |
15952
20.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2281
84.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1905
70.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2721
100.8 IPS |
|
|
Text Classification (SP)
|
100% |
1458
1.95 KIPS |
|
|
Text Classification (HP)
|
100% |
708
944.7 IPS |
|
|
Text Classification (Q)
|
97% |
1566
2.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
2101
36.2 IPS |
|
|
Machine Translation (HP)
|
100% |
632
10.9 IPS |
|
|
Machine Translation (Q)
|
68% |
2639
51.0 IPS |
