AZW GTR
Geekbench AI Score
1688
Single Precision Score
779
Half Precision Score
2649
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 08 2025 03:00 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 5900HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | AZW GTR |
| Motherboard | AZW GTR |
| Power Plan | Ultimate Performance |
| 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% |
1350
251.1 IPS |
|
|
Image Classification (HP)
|
100% |
266
49.4 IPS |
|
|
Image Classification (Q)
|
96% |
2291
427.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
791
12.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
392
6.35 IPS |
|
|
Image Segmentation (Q)
|
97% |
1558
25.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2471
2.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
2326
2.71 IPS |
|
|
Pose Estimation (Q)
|
86% |
4501
5.32 IPS |
|
|
Object Detection (SP)
|
100% |
1091
86.5 IPS |
|
|
Object Detection (HP)
|
100% |
310
24.6 IPS |
|
|
Object Detection (Q)
|
58% |
1575
172.1 IPS |
|
|
Face Detection (SP)
|
100% |
1996
23.7 IPS |
|
|
Face Detection (HP)
|
100% |
793
9.42 IPS |
|
|
Face Detection (Q)
|
96% |
4764
56.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3723
28.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1211
9.33 IPS |
|
|
Depth Estimation (Q)
|
78% |
6016
48.0 IPS |
|
|
Style Transfer (SP)
|
100% |
7116
9.15 IPS |
|
|
Style Transfer (HP)
|
100% |
5729
7.36 IPS |
|
|
Style Transfer (Q)
|
87% |
9686
12.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1183
43.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1059
39.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1659
61.5 IPS |
|
|
Text Classification (SP)
|
100% |
829
1.11 KIPS |
|
|
Text Classification (HP)
|
100% |
426
568.9 IPS |
|
|
Text Classification (Q)
|
97% |
899
1.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
1260
21.7 IPS |
|
|
Machine Translation (HP)
|
100% |
442
7.61 IPS |
|
|
Machine Translation (Q)
|
68% |
1630
31.5 IPS |
