AZW GTi15
Geekbench AI Score
5250
Single Precision Score
8434
Half Precision Score
13432
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | ShowXTech |
| Upload Date | January 10 2026 07:59 PM |
| Views | 11 |
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% |
3294
612.6 IPS |
|
|
Image Classification (HP)
|
100% |
5994
1.11 KIPS |
|
|
Image Classification (Q)
|
100% |
8909
1.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4192
67.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2281
37.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2782
45.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6609
7.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
27245
31.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
61170
71.7 IPS |
|
|
Object Detection (SP)
|
100% |
2957
234.5 IPS |
|
|
Object Detection (HP)
|
100% |
5042
400.0 IPS |
|
|
Object Detection (Q)
|
88% |
8795
705.1 IPS |
|
|
Face Detection (SP)
|
100% |
8909
105.9 IPS |
|
|
Face Detection (HP)
|
100% |
15205
180.7 IPS |
|
|
Face Detection (Q)
|
100% |
28575
339.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7972
61.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
15288
117.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
29087
226.3 IPS |
|
|
Style Transfer (SP)
|
100% |
19507
25.1 IPS |
|
|
Style Transfer (HP)
|
100% |
44084
56.7 IPS |
|
|
Style Transfer (Q)
|
98% |
82302
106.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3674
135.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12620
466.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27046
1.00 KIPS |
|
|
Text Classification (SP)
|
100% |
3126
4.17 KIPS |
|
|
Text Classification (HP)
|
100% |
1910
2.55 KIPS |
|
|
Text Classification (Q)
|
92% |
1940
2.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
3706
63.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3929
67.7 IPS |
|
|
Machine Translation (Q)
|
100% |
3997
68.8 IPS |
