AZW EQ
Geekbench AI Score
3705
Single Precision Score
3785
Half Precision Score
6061
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | WitzAbout |
| Upload Date | August 05 2025 06:00 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 5825U with Radeon Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | AZW EQ |
| Motherboard | AZW EQ |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5825U |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2338
434.8 IPS |
|
|
Image Classification (HP)
|
100% |
2266
421.4 IPS |
|
|
Image Classification (Q)
|
100% |
4127
767.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2812
45.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2818
45.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4650
75.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4744
5.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
4807
5.61 IPS |
|
|
Pose Estimation (Q)
|
94% |
10462
12.3 IPS |
|
|
Object Detection (SP)
|
100% |
2154
170.9 IPS |
|
|
Object Detection (HP)
|
100% |
2174
172.4 IPS |
|
|
Object Detection (Q)
|
87% |
4187
335.8 IPS |
|
|
Face Detection (SP)
|
100% |
4406
52.4 IPS |
|
|
Face Detection (HP)
|
100% |
4452
52.9 IPS |
|
|
Face Detection (Q)
|
97% |
11897
141.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5528
42.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
6024
46.4 IPS |
|
|
Depth Estimation (Q)
|
81% |
11066
87.3 IPS |
|
|
Style Transfer (SP)
|
100% |
13541
17.4 IPS |
|
|
Style Transfer (HP)
|
100% |
13680
17.6 IPS |
|
|
Style Transfer (Q)
|
98% |
30235
39.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2733
100.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2831
104.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
6187
229.2 IPS |
|
|
Text Classification (SP)
|
100% |
2450
3.27 KIPS |
|
|
Text Classification (HP)
|
100% |
2433
3.25 KIPS |
|
|
Text Classification (Q)
|
91% |
1017
1.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3291
56.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3587
61.8 IPS |
|
|
Machine Translation (Q)
|
100% |
3181
54.8 IPS |
