AZW SER
Geekbench AI Score
2324
Single Precision Score
2298
Half Precision Score
3126
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | hisyho |
| Upload Date | July 26 2025 04:08 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 5700U with Radeon Graphics |
| 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% |
1351
251.3 IPS |
|
|
Image Classification (HP)
|
100% |
1378
256.3 IPS |
|
|
Image Classification (Q)
|
100% |
2140
397.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1184
19.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1003
16.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2508
40.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3933
4.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
3976
4.64 IPS |
|
|
Pose Estimation (Q)
|
94% |
5606
6.58 IPS |
|
|
Object Detection (SP)
|
100% |
1376
109.2 IPS |
|
|
Object Detection (HP)
|
100% |
1360
107.9 IPS |
|
|
Object Detection (Q)
|
87% |
2213
177.5 IPS |
|
|
Face Detection (SP)
|
100% |
2508
29.8 IPS |
|
|
Face Detection (HP)
|
100% |
2423
28.8 IPS |
|
|
Face Detection (Q)
|
97% |
6310
75.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4019
31.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
4146
31.9 IPS |
|
|
Depth Estimation (Q)
|
81% |
5966
47.0 IPS |
|
|
Style Transfer (SP)
|
100% |
10656
13.7 IPS |
|
|
Style Transfer (HP)
|
100% |
10680
13.7 IPS |
|
|
Style Transfer (Q)
|
98% |
15675
20.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1979
73.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1985
73.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3006
111.3 IPS |
|
|
Text Classification (SP)
|
100% |
1498
2.00 KIPS |
|
|
Text Classification (HP)
|
100% |
1566
2.09 KIPS |
|
|
Text Classification (Q)
|
91% |
468
628.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1669
28.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1649
28.4 IPS |
|
|
Machine Translation (Q)
|
100% |
1615
27.8 IPS |
