AZW GTi14
Geekbench AI Score
13954
Single Precision Score
23867
Half Precision Score
9586
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 07 2025 05:40 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 |
| 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% |
5859
1.09 KIPS |
|
|
Image Classification (HP)
|
99% |
9562
1.78 KIPS |
|
|
Image Classification (Q)
|
99% |
4422
824.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
9459
153.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
14726
238.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
7507
122.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
70506
82.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
192392
224.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
57876
67.8 IPS |
|
|
Object Detection (SP)
|
100% |
6842
542.7 IPS |
|
|
Object Detection (HP)
|
100% |
12413
984.6 IPS |
|
|
Object Detection (Q)
|
84% |
5525
445.6 IPS |
|
|
Face Detection (SP)
|
100% |
15991
190.0 IPS |
|
|
Face Detection (HP)
|
100% |
26251
311.9 IPS |
|
|
Face Detection (Q)
|
97% |
12916
154.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
34146
263.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
66126
510.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
23434
187.6 IPS |
|
|
Style Transfer (SP)
|
100% |
116158
149.3 IPS |
|
|
Style Transfer (HP)
|
100% |
285899
367.5 IPS |
|
|
Style Transfer (Q)
|
98% |
92811
119.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20527
758.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33851
1.25 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
13367
495.0 IPS |
|
|
Text Classification (SP)
|
100% |
2352
3.14 KIPS |
|
|
Text Classification (HP)
|
99% |
2975
3.97 KIPS |
|
|
Text Classification (Q)
|
97% |
1215
1.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
3419
58.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3570
61.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1353
25.4 IPS |
