AZW GTi14
Geekbench AI Score
2930
Single Precision Score
7866
Half Precision Score
13279
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | nnavarro |
| Upload Date | June 19 2025 05:02 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| 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 | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1323
246.1 IPS |
|
|
Image Classification (HP)
|
100% |
5512
1.03 KIPS |
|
|
Image Classification (Q)
|
100% |
8689
1.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2366
38.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2295
37.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3118
50.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3769
4.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
24902
29.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
66304
77.7 IPS |
|
|
Object Detection (SP)
|
100% |
1671
132.5 IPS |
|
|
Object Detection (HP)
|
100% |
4977
394.8 IPS |
|
|
Object Detection (Q)
|
87% |
8842
709.7 IPS |
|
|
Face Detection (SP)
|
100% |
4539
53.9 IPS |
|
|
Face Detection (HP)
|
100% |
13498
160.4 IPS |
|
|
Face Detection (Q)
|
100% |
28392
337.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4382
33.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
14025
108.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
29277
227.8 IPS |
|
|
Style Transfer (SP)
|
100% |
11538
14.8 IPS |
|
|
Style Transfer (HP)
|
100% |
40167
51.6 IPS |
|
|
Style Transfer (Q)
|
98% |
84470
108.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2258
83.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10357
382.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20449
757.3 IPS |
|
|
Text Classification (SP)
|
100% |
1923
2.57 KIPS |
|
|
Text Classification (HP)
|
100% |
1925
2.57 KIPS |
|
|
Text Classification (Q)
|
92% |
1944
2.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
2377
40.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3818
65.8 IPS |
|
|
Machine Translation (Q)
|
100% |
3848
66.3 IPS |
