AZW SER8
Geekbench AI Score
7764
Single Precision Score
11310
Half Precision Score
5836
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 11 2025 10:25 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD 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% |
3136
583.2 IPS |
|
|
Image Classification (HP)
|
100% |
4684
871.2 IPS |
|
|
Image Classification (Q)
|
100% |
2928
544.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3949
64.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4626
75.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
3217
52.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
40844
47.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
69183
80.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
29219
34.2 IPS |
|
|
Object Detection (SP)
|
100% |
2682
212.8 IPS |
|
|
Object Detection (HP)
|
100% |
3787
300.4 IPS |
|
|
Object Detection (Q)
|
87% |
2411
193.6 IPS |
|
|
Face Detection (SP)
|
100% |
5940
70.6 IPS |
|
|
Face Detection (HP)
|
100% |
10560
125.5 IPS |
|
|
Face Detection (Q)
|
97% |
5025
59.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
17366
133.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
27503
211.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
13355
107.1 IPS |
|
|
Style Transfer (SP)
|
100% |
65890
84.7 IPS |
|
|
Style Transfer (HP)
|
100% |
107793
138.6 IPS |
|
|
Style Transfer (Q)
|
98% |
45394
58.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13741
507.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22544
832.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9008
333.5 IPS |
|
|
Text Classification (SP)
|
100% |
2352
3.14 KIPS |
|
|
Text Classification (HP)
|
100% |
3221
4.30 KIPS |
|
|
Text Classification (Q)
|
97% |
1622
2.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
2671
46.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2654
45.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1554
29.1 IPS |
