AZW SER8
Geekbench AI Score
7325
Single Precision Score
10703
Half Precision Score
5564
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 26 2025 09:36 PM |
| Views | 4 |
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% |
2370
440.8 IPS |
|
|
Image Classification (HP)
|
100% |
4339
806.9 IPS |
|
|
Image Classification (Q)
|
100% |
2251
418.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
4001
64.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4838
78.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3276
53.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
41046
47.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
70912
82.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
29118
34.1 IPS |
|
|
Object Detection (SP)
|
100% |
2624
208.2 IPS |
|
|
Object Detection (HP)
|
100% |
3378
267.9 IPS |
|
|
Object Detection (Q)
|
87% |
2346
188.5 IPS |
|
|
Face Detection (SP)
|
100% |
5929
70.4 IPS |
|
|
Face Detection (HP)
|
100% |
10971
130.4 IPS |
|
|
Face Detection (Q)
|
97% |
5026
59.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
16809
129.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
25019
192.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
13078
104.9 IPS |
|
|
Style Transfer (SP)
|
100% |
66350
85.3 IPS |
|
|
Style Transfer (HP)
|
100% |
108038
138.9 IPS |
|
|
Style Transfer (Q)
|
98% |
45330
58.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10289
379.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13273
490.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7357
272.4 IPS |
|
|
Text Classification (SP)
|
100% |
2362
3.15 KIPS |
|
|
Text Classification (HP)
|
100% |
3110
4.15 KIPS |
|
|
Text Classification (Q)
|
97% |
1636
2.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
2713
46.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3207
55.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1576
29.6 IPS |
