AZW GTi15
Geekbench AI Score
5684
Single Precision Score
8459
Half Precision Score
13418
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | ShowXTech |
| Upload Date | January 11 2026 01:37 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | AZW GTi15 |
| Motherboard | AZW GTi15 |
| Power Plan | High Performance Mode |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 285H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3610
671.4 IPS |
|
|
Image Classification (HP)
|
100% |
5957
1.11 KIPS |
|
|
Image Classification (Q)
|
100% |
8782
1.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4551
73.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2284
37.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2792
45.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7356
8.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
27377
31.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
61438
72.0 IPS |
|
|
Object Detection (SP)
|
100% |
3118
247.3 IPS |
|
|
Object Detection (HP)
|
100% |
5118
406.0 IPS |
|
|
Object Detection (Q)
|
88% |
8741
700.8 IPS |
|
|
Face Detection (SP)
|
100% |
9650
114.7 IPS |
|
|
Face Detection (HP)
|
100% |
15112
179.6 IPS |
|
|
Face Detection (Q)
|
100% |
28287
336.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8630
66.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
15206
117.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
29648
230.7 IPS |
|
|
Style Transfer (SP)
|
100% |
20988
27.0 IPS |
|
|
Style Transfer (HP)
|
100% |
44330
57.0 IPS |
|
|
Style Transfer (Q)
|
98% |
82035
105.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4034
149.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12594
465.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
26803
992.6 IPS |
|
|
Text Classification (SP)
|
100% |
3348
4.47 KIPS |
|
|
Text Classification (HP)
|
100% |
1928
2.57 KIPS |
|
|
Text Classification (Q)
|
92% |
1934
2.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
3964
68.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3980
68.5 IPS |
|
|
Machine Translation (Q)
|
100% |
4031
69.4 IPS |
