GIGABYTE A5 X1
Geekbench AI Score
4368
Single Precision Score
4322
Half Precision Score
7642
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Clementin |
| Upload Date | June 04 2025 05:53 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 5900HX with Radeon Graphics |
| 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% |
2761
513.5 IPS |
|
|
Image Classification (HP)
|
100% |
2709
503.8 IPS |
|
|
Image Classification (Q)
|
100% |
5375
999.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3112
50.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3099
50.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
6021
97.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5718
6.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
5694
6.64 IPS |
|
|
Pose Estimation (Q)
|
94% |
13526
15.9 IPS |
|
|
Object Detection (SP)
|
100% |
2637
209.2 IPS |
|
|
Object Detection (HP)
|
100% |
2378
188.6 IPS |
|
|
Object Detection (Q)
|
87% |
5183
415.7 IPS |
|
|
Face Detection (SP)
|
100% |
4910
58.3 IPS |
|
|
Face Detection (HP)
|
100% |
5191
61.7 IPS |
|
|
Face Detection (Q)
|
97% |
14841
177.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7005
54.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
6654
51.3 IPS |
|
|
Depth Estimation (Q)
|
81% |
13438
106.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17078
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
16857
21.7 IPS |
|
|
Style Transfer (Q)
|
98% |
38062
49.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3275
120.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3294
121.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
8117
300.7 IPS |
|
|
Text Classification (SP)
|
100% |
2618
3.49 KIPS |
|
|
Text Classification (HP)
|
100% |
2652
3.54 KIPS |
|
|
Text Classification (Q)
|
91% |
1240
1.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
3883
66.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3937
67.8 IPS |
|
|
Machine Translation (Q)
|
100% |
3921
67.5 IPS |
