AZW SER
Geekbench AI Score
3346
Single Precision Score
4582
Half Precision Score
2483
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | fraludio |
| Upload Date | March 08 2025 10:03 PM |
| 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 |
| Power Plan | Alto rendimiento |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1388
258.2 IPS |
|
|
Image Classification (HP)
|
100% |
1854
344.8 IPS |
|
|
Image Classification (Q)
|
100% |
1232
229.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1453
23.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1811
29.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1239
20.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
13099
15.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
23508
27.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
10632
12.5 IPS |
|
|
Object Detection (SP)
|
100% |
1475
117.0 IPS |
|
|
Object Detection (HP)
|
100% |
1894
150.2 IPS |
|
|
Object Detection (Q)
|
88% |
1284
102.9 IPS |
|
|
Face Detection (SP)
|
100% |
2990
35.5 IPS |
|
|
Face Detection (HP)
|
100% |
4331
51.5 IPS |
|
|
Face Detection (Q)
|
97% |
2514
30.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7727
59.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
11089
85.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
5829
46.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22596
29.0 IPS |
|
|
Style Transfer (HP)
|
100% |
37365
48.0 IPS |
|
|
Style Transfer (Q)
|
98% |
17496
22.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4754
175.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7105
262.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3086
114.3 IPS |
|
|
Text Classification (SP)
|
100% |
1059
1.41 KIPS |
|
|
Text Classification (HP)
|
100% |
1130
1.51 KIPS |
|
|
Text Classification (Q)
|
97% |
709
950.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1720
29.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1897
32.7 IPS |
|
|
Machine Translation (Q)
|
70% |
764
14.3 IPS |
