AZW SER
Geekbench AI Score
2056
Single Precision Score
2802
Half Precision Score
1495
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | hisyho |
| Upload Date | July 26 2025 04:05 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 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% |
760
141.4 IPS |
|
|
Image Classification (HP)
|
100% |
1039
193.2 IPS |
|
|
Image Classification (Q)
|
100% |
682
126.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
914
14.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1135
18.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
754
12.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9746
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
16403
19.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
7179
8.41 IPS |
|
|
Object Detection (SP)
|
100% |
855
67.8 IPS |
|
|
Object Detection (HP)
|
100% |
1136
90.1 IPS |
|
|
Object Detection (Q)
|
88% |
717
57.5 IPS |
|
|
Face Detection (SP)
|
100% |
1930
22.9 IPS |
|
|
Face Detection (HP)
|
100% |
2680
31.8 IPS |
|
|
Face Detection (Q)
|
97% |
1583
18.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4840
37.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
7301
56.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
3638
29.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16764
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
25302
32.5 IPS |
|
|
Style Transfer (Q)
|
98% |
11079
14.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2819
104.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4299
158.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1821
67.4 IPS |
|
|
Text Classification (SP)
|
100% |
501
668.9 IPS |
|
|
Text Classification (HP)
|
100% |
539
719.2 IPS |
|
|
Text Classification (Q)
|
97% |
381
510.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1057
18.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1185
20.4 IPS |
|
|
Machine Translation (Q)
|
70% |
476
8.94 IPS |
