AZW SER8
Geekbench AI Score
4212
Single Precision Score
1852
Half Precision Score
7296
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 26 2025 09:33 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 8745HS w/ Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | AZW SER8 |
| Motherboard | AZW SER8 |
| Power Plan | Bilanciato |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8745HS w/ Radeon 780M Graphics |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3621
673.3 IPS |
|
|
Image Classification (HP)
|
100% |
694
129.1 IPS |
|
|
Image Classification (Q)
|
99% |
8240
1.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1254
20.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
890
14.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3822
62.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7608
8.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
6256
7.30 IPS |
|
|
Pose Estimation (Q)
|
94% |
25856
30.3 IPS |
|
|
Object Detection (SP)
|
100% |
3333
264.4 IPS |
|
|
Object Detection (HP)
|
100% |
900
71.4 IPS |
|
|
Object Detection (Q)
|
86% |
7977
641.1 IPS |
|
|
Face Detection (SP)
|
100% |
6589
78.3 IPS |
|
|
Face Detection (HP)
|
100% |
1928
22.9 IPS |
|
|
Face Detection (Q)
|
97% |
11027
131.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9744
75.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2872
22.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
7961
63.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17916
23.0 IPS |
|
|
Style Transfer (HP)
|
100% |
14919
19.2 IPS |
|
|
Style Transfer (Q)
|
98% |
27996
36.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2793
103.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2568
94.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3723
137.8 IPS |
|
|
Text Classification (SP)
|
100% |
1869
2.49 KIPS |
|
|
Text Classification (HP)
|
100% |
791
1.06 KIPS |
|
|
Text Classification (Q)
|
97% |
1934
2.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
2548
43.9 IPS |
|
|
Machine Translation (HP)
|
100% |
815
14.0 IPS |
|
|
Machine Translation (Q)
|
65% |
3721
74.8 IPS |
