AZW GTi15
Geekbench AI Score
5695
Single Precision Score
5864
Half Precision Score
13604
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | ShowXTech |
| Upload Date | January 11 2026 01:34 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285H |
| 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% |
3621
673.5 IPS |
|
|
Image Classification (HP)
|
100% |
4033
749.9 IPS |
|
|
Image Classification (Q)
|
100% |
9028
1.68 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4553
73.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2665
43.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
9721
157.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7362
8.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
7271
8.48 IPS |
|
|
Pose Estimation (Q)
|
96% |
27478
32.2 IPS |
|
|
Object Detection (SP)
|
100% |
3142
249.2 IPS |
|
|
Object Detection (HP)
|
100% |
3721
295.1 IPS |
|
|
Object Detection (Q)
|
88% |
9471
759.2 IPS |
|
|
Face Detection (SP)
|
100% |
9500
112.9 IPS |
|
|
Face Detection (HP)
|
100% |
11131
132.3 IPS |
|
|
Face Detection (Q)
|
100% |
20470
243.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8558
65.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
9154
70.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
23704
184.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21181
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
20825
26.8 IPS |
|
|
Style Transfer (Q)
|
98% |
64027
82.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4032
148.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4623
170.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14327
530.6 IPS |
|
|
Text Classification (SP)
|
100% |
3390
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
3085
4.12 KIPS |
|
|
Text Classification (Q)
|
92% |
5422
7.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
4003
68.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5466
94.2 IPS |
|
|
Machine Translation (Q)
|
100% |
3941
67.9 IPS |
