AZW GTi15
Geekbench AI Score
4423
Single Precision Score
1931
Half Precision Score
8363
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | ShowXTech |
| Upload Date | January 10 2026 07:41 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core 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% |
3238
602.2 IPS |
|
|
Image Classification (HP)
|
100% |
710
132.0 IPS |
|
|
Image Classification (Q)
|
99% |
7345
1.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1920
31.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1251
20.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
9805
159.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7248
8.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
5380
6.28 IPS |
|
|
Pose Estimation (Q)
|
94% |
25871
30.3 IPS |
|
|
Object Detection (SP)
|
100% |
3122
247.7 IPS |
|
|
Object Detection (HP)
|
100% |
891
70.7 IPS |
|
|
Object Detection (Q)
|
86% |
7794
626.4 IPS |
|
|
Face Detection (SP)
|
100% |
9403
111.7 IPS |
|
|
Face Detection (HP)
|
100% |
2099
24.9 IPS |
|
|
Face Detection (Q)
|
97% |
9912
118.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8749
67.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2719
20.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
17244
137.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17462
22.4 IPS |
|
|
Style Transfer (HP)
|
100% |
12210
15.7 IPS |
|
|
Style Transfer (Q)
|
98% |
24263
31.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3228
119.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2359
87.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5260
194.8 IPS |
|
|
Text Classification (SP)
|
100% |
1694
2.26 KIPS |
|
|
Text Classification (HP)
|
100% |
864
1.15 KIPS |
|
|
Text Classification (Q)
|
97% |
1588
2.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
2595
44.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1193
20.5 IPS |
|
|
Machine Translation (Q)
|
65% |
3327
66.8 IPS |
