AZW SER
Geekbench AI Score
1383
Single Precision Score
700
Half Precision Score
1952
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | hisyho |
| Upload Date | July 26 2025 04:12 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 5700U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | AZW SER |
| Motherboard | AZW SER |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700U |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 104 Stepping 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1295
240.8 IPS |
|
|
Image Classification (HP)
|
100% |
308
57.4 IPS |
|
|
Image Classification (Q)
|
96% |
1898
354.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
364
5.91 IPS |
|
|
Image Segmentation (HP)
|
100% |
338
5.48 IPS |
|
|
Image Segmentation (Q)
|
97% |
1928
31.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2579
3.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
2064
2.41 IPS |
|
|
Pose Estimation (Q)
|
86% |
3199
3.78 IPS |
|
|
Object Detection (SP)
|
100% |
1086
86.2 IPS |
|
|
Object Detection (HP)
|
100% |
320
25.4 IPS |
|
|
Object Detection (Q)
|
58% |
1057
115.5 IPS |
|
|
Face Detection (SP)
|
100% |
1998
23.7 IPS |
|
|
Face Detection (HP)
|
100% |
648
7.70 IPS |
|
|
Face Detection (Q)
|
96% |
3352
40.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3260
25.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1042
8.02 IPS |
|
|
Depth Estimation (Q)
|
78% |
3506
28.0 IPS |
|
|
Style Transfer (SP)
|
100% |
6303
8.10 IPS |
|
|
Style Transfer (HP)
|
100% |
5129
6.59 IPS |
|
|
Style Transfer (Q)
|
87% |
5811
7.56 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
976
36.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
798
29.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1446
53.6 IPS |
|
|
Text Classification (SP)
|
100% |
673
898.0 IPS |
|
|
Text Classification (HP)
|
100% |
363
484.2 IPS |
|
|
Text Classification (Q)
|
97% |
626
839.0 IPS |
|
|
Machine Translation (SP)
|
100% |
723
12.5 IPS |
|
|
Machine Translation (HP)
|
100% |
414
7.14 IPS |
|
|
Machine Translation (Q)
|
68% |
1053
20.3 IPS |
