AZW EQ
Geekbench AI Score
2831
Single Precision Score
1322
Half Precision Score
4488
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | WitzAbout |
| Upload Date | August 05 2025 05:48 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 5825U |
| 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% |
2030
377.5 IPS |
|
|
Image Classification (HP)
|
100% |
445
82.8 IPS |
|
|
Image Classification (Q)
|
96% |
3642
680.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1191
19.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
645
10.5 IPS |
|
|
Image Segmentation (Q)
|
97% |
4282
69.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4349
5.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
3811
4.45 IPS |
|
|
Pose Estimation (Q)
|
86% |
9519
11.3 IPS |
|
|
Object Detection (SP)
|
100% |
2201
174.6 IPS |
|
|
Object Detection (HP)
|
100% |
643
51.0 IPS |
|
|
Object Detection (Q)
|
58% |
2701
295.1 IPS |
|
|
Face Detection (SP)
|
100% |
3632
43.2 IPS |
|
|
Face Detection (HP)
|
100% |
1271
15.1 IPS |
|
|
Face Detection (Q)
|
96% |
6770
80.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6314
48.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1989
15.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
8780
70.1 IPS |
|
|
Style Transfer (SP)
|
100% |
10617
13.6 IPS |
|
|
Style Transfer (HP)
|
100% |
9366
12.0 IPS |
|
|
Style Transfer (Q)
|
87% |
13326
17.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2044
75.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1728
63.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3539
131.1 IPS |
|
|
Text Classification (SP)
|
100% |
1608
2.15 KIPS |
|
|
Text Classification (HP)
|
100% |
794
1.06 KIPS |
|
|
Text Classification (Q)
|
97% |
1333
1.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
1786
30.8 IPS |
|
|
Machine Translation (HP)
|
100% |
718
12.4 IPS |
|
|
Machine Translation (Q)
|
68% |
2213
42.8 IPS |
