AZW GTR
Geekbench AI Score
2254
Single Precision Score
1064
Half Precision Score
3792
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | eunu |
| Upload Date | August 03 2025 02:40 AM |
| Views | 13 |
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 | AMD Ryzen Balanced |
| 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% |
1984
369.0 IPS |
|
|
Image Classification (HP)
|
100% |
386
71.8 IPS |
|
|
Image Classification (Q)
|
96% |
3303
616.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1087
17.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
529
8.57 IPS |
|
|
Image Segmentation (Q)
|
97% |
3824
62.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3240
3.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
2839
3.31 IPS |
|
|
Pose Estimation (Q)
|
86% |
7099
8.39 IPS |
|
|
Object Detection (SP)
|
100% |
1601
127.0 IPS |
|
|
Object Detection (HP)
|
100% |
464
36.8 IPS |
|
|
Object Detection (Q)
|
58% |
2165
236.5 IPS |
|
|
Face Detection (SP)
|
100% |
2898
34.4 IPS |
|
|
Face Detection (HP)
|
100% |
1112
13.2 IPS |
|
|
Face Detection (Q)
|
96% |
6712
80.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5124
39.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1637
12.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
7661
61.1 IPS |
|
|
Style Transfer (SP)
|
100% |
8326
10.7 IPS |
|
|
Style Transfer (HP)
|
100% |
6940
8.92 IPS |
|
|
Style Transfer (Q)
|
87% |
10633
13.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1414
52.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1306
48.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2289
84.8 IPS |
|
|
Text Classification (SP)
|
100% |
1103
1.47 KIPS |
|
|
Text Classification (HP)
|
100% |
625
834.5 IPS |
|
|
Text Classification (Q)
|
97% |
1148
1.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
1573
27.1 IPS |
|
|
Machine Translation (HP)
|
100% |
673
11.6 IPS |
|
|
Machine Translation (Q)
|
68% |
2207
42.6 IPS |
