GIGABYTE A5 X1
Geekbench AI Score
3491
Single Precision Score
4847
Half Precision Score
2591
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Clementin |
| Upload Date | June 04 2025 05:50 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 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% |
1374
255.6 IPS |
|
|
Image Classification (HP)
|
100% |
1901
353.4 IPS |
|
|
Image Classification (Q)
|
100% |
1239
230.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1557
25.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1961
31.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1322
21.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
13618
15.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
24065
28.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
11039
12.9 IPS |
|
|
Object Detection (SP)
|
100% |
1520
120.5 IPS |
|
|
Object Detection (HP)
|
100% |
1969
156.2 IPS |
|
|
Object Detection (Q)
|
88% |
1361
109.1 IPS |
|
|
Face Detection (SP)
|
100% |
3267
38.8 IPS |
|
|
Face Detection (HP)
|
100% |
4713
56.0 IPS |
|
|
Face Detection (Q)
|
97% |
2703
32.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7909
60.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
11903
91.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
6007
48.0 IPS |
|
|
Style Transfer (SP)
|
100% |
23517
30.2 IPS |
|
|
Style Transfer (HP)
|
100% |
38468
49.5 IPS |
|
|
Style Transfer (Q)
|
98% |
18139
23.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4852
179.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7411
273.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3210
118.9 IPS |
|
|
Text Classification (SP)
|
100% |
1080
1.44 KIPS |
|
|
Text Classification (HP)
|
100% |
1156
1.54 KIPS |
|
|
Text Classification (Q)
|
97% |
711
952.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1911
32.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2194
37.8 IPS |
|
|
Machine Translation (Q)
|
70% |
826
15.5 IPS |
