AZW GTi14
Geekbench AI Score
7632
Single Precision Score
12942
Half Precision Score
20066
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 07 2025 05:36 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | AZW GTi14 |
| Motherboard | AZW GTi14 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 185H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.10 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5359
996.6 IPS |
|
|
Image Classification (HP)
|
100% |
8666
1.61 KIPS |
|
|
Image Classification (Q)
|
100% |
10850
2.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4271
69.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
10441
169.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
16574
268.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
22229
25.9 IPS |
|
|
Pose Estimation (HP)
|
99% |
23938
28.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
79849
93.5 IPS |
|
|
Object Detection (SP)
|
100% |
5032
399.1 IPS |
|
|
Object Detection (HP)
|
100% |
9281
736.2 IPS |
|
|
Object Detection (Q)
|
88% |
13591
1.09 KIPS |
|
|
Face Detection (SP)
|
100% |
7549
89.7 IPS |
|
|
Face Detection (HP)
|
100% |
16819
199.8 IPS |
|
|
Face Detection (Q)
|
100% |
28646
340.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
17161
132.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
30484
235.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
40249
312.8 IPS |
|
|
Style Transfer (SP)
|
100% |
52986
68.1 IPS |
|
|
Style Transfer (HP)
|
100% |
72712
93.5 IPS |
|
|
Style Transfer (Q)
|
98% |
174859
225.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8651
319.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15189
560.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24679
914.0 IPS |
|
|
Text Classification (SP)
|
71% |
1768
2.56 KIPS |
|
|
Text Classification (HP)
|
71% |
2815
4.07 KIPS |
|
|
Text Classification (Q)
|
92% |
2796
3.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
2495
43.0 IPS |
|
|
Machine Translation (HP)
|
98% |
4115
71.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3900
67.4 IPS |
