AZW GTi15
Geekbench AI Score
4732
Single Precision Score
2069
Half Precision Score
8938
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | ShowXTech |
| Upload Date | January 11 2026 01:23 PM |
| Views | 3 |
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% |
3558
661.8 IPS |
|
|
Image Classification (HP)
|
100% |
755
140.4 IPS |
|
|
Image Classification (Q)
|
99% |
7878
1.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2007
32.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1354
22.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
10602
172.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7870
9.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
5712
6.66 IPS |
|
|
Pose Estimation (Q)
|
94% |
27429
32.2 IPS |
|
|
Object Detection (SP)
|
100% |
3473
275.5 IPS |
|
|
Object Detection (HP)
|
100% |
955
75.8 IPS |
|
|
Object Detection (Q)
|
86% |
8315
668.3 IPS |
|
|
Face Detection (SP)
|
100% |
9794
116.4 IPS |
|
|
Face Detection (HP)
|
100% |
2191
26.0 IPS |
|
|
Face Detection (Q)
|
97% |
10426
124.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9520
73.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2925
22.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
17875
142.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18769
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
13260
17.0 IPS |
|
|
Style Transfer (Q)
|
98% |
24939
32.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3437
126.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2570
94.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5533
204.9 IPS |
|
|
Text Classification (SP)
|
100% |
1793
2.39 KIPS |
|
|
Text Classification (HP)
|
100% |
930
1.24 KIPS |
|
|
Text Classification (Q)
|
97% |
1698
2.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
2677
46.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1273
21.9 IPS |
|
|
Machine Translation (Q)
|
65% |
3914
78.7 IPS |
