AZW SER8
Geekbench AI Score
6143
Single Precision Score
6167
Half Precision Score
17110
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 11 2025 10:28 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| 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% |
3850
716.1 IPS |
|
|
Image Classification (HP)
|
100% |
3922
729.3 IPS |
|
|
Image Classification (Q)
|
100% |
11144
2.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4465
72.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4535
73.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
11664
189.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7651
8.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
7677
8.96 IPS |
|
|
Pose Estimation (Q)
|
98% |
30821
36.1 IPS |
|
|
Object Detection (SP)
|
100% |
3470
275.2 IPS |
|
|
Object Detection (HP)
|
100% |
3465
274.9 IPS |
|
|
Object Detection (Q)
|
88% |
11461
918.7 IPS |
|
|
Face Detection (SP)
|
100% |
7982
94.8 IPS |
|
|
Face Detection (HP)
|
100% |
7982
94.8 IPS |
|
|
Face Detection (Q)
|
100% |
27774
330.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9692
74.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
9768
75.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
28696
223.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21227
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
21371
27.5 IPS |
|
|
Style Transfer (Q)
|
98% |
81029
104.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4483
165.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4522
167.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15618
578.4 IPS |
|
|
Text Classification (SP)
|
100% |
3856
5.15 KIPS |
|
|
Text Classification (HP)
|
100% |
3883
5.18 KIPS |
|
|
Text Classification (Q)
|
92% |
6013
8.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
5911
101.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5749
99.0 IPS |
|
|
Machine Translation (Q)
|
100% |
7724
133.1 IPS |
