AZW GTi15
Geekbench AI Score
7083
Single Precision Score
9211
Half Precision Score
4704
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | ShowXTech |
| Upload Date | January 10 2026 07:44 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) 140T GPU (48GB) |
| 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% |
4611
857.6 IPS |
|
|
Image Classification (HP)
|
100% |
4888
909.0 IPS |
|
|
Image Classification (Q)
|
99% |
3253
606.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
5304
86.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
8773
142.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
3452
56.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
13727
16.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
19893
23.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
11909
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
5126
406.6 IPS |
|
|
Object Detection (HP)
|
100% |
5455
432.7 IPS |
|
|
Object Detection (Q)
|
84% |
3736
301.6 IPS |
|
|
Face Detection (SP)
|
100% |
7300
86.7 IPS |
|
|
Face Detection (HP)
|
100% |
11720
139.3 IPS |
|
|
Face Detection (Q)
|
97% |
5000
59.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
15643
120.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
23306
179.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
11513
92.2 IPS |
|
|
Style Transfer (SP)
|
100% |
46936
60.3 IPS |
|
|
Style Transfer (HP)
|
100% |
68936
88.6 IPS |
|
|
Style Transfer (Q)
|
98% |
32897
42.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8206
303.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11977
442.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5151
190.7 IPS |
|
|
Text Classification (SP)
|
100% |
1510
2.02 KIPS |
|
|
Text Classification (HP)
|
100% |
1482
1.98 KIPS |
|
|
Text Classification (Q)
|
97% |
874
1.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
2782
47.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2828
48.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1246
23.4 IPS |
