AZW GTi14
Geekbench AI Score
3282
Single Precision Score
3299
Half Precision Score
8039
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | carlsundberg25 |
| Upload Date | August 03 2025 10:34 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 185H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | AZW GTi14 |
| Motherboard | AZW GTi14 |
| Power Plan | High Performance Mode |
| 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% |
1689
314.1 IPS |
|
|
Image Classification (HP)
|
100% |
1722
320.2 IPS |
|
|
Image Classification (Q)
|
100% |
5455
1.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2720
44.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2776
45.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
5436
88.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4599
5.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
4593
5.36 IPS |
|
|
Pose Estimation (Q)
|
96% |
15918
18.6 IPS |
|
|
Object Detection (SP)
|
100% |
1662
131.8 IPS |
|
|
Object Detection (HP)
|
100% |
1644
130.4 IPS |
|
|
Object Detection (Q)
|
88% |
4938
395.9 IPS |
|
|
Face Detection (SP)
|
100% |
5335
63.4 IPS |
|
|
Face Detection (HP)
|
100% |
5303
63.0 IPS |
|
|
Face Detection (Q)
|
100% |
11212
133.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5211
40.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
5288
40.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
12962
100.8 IPS |
|
|
Style Transfer (SP)
|
100% |
13538
17.4 IPS |
|
|
Style Transfer (HP)
|
100% |
13687
17.6 IPS |
|
|
Style Transfer (Q)
|
98% |
46600
60.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2439
90.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2468
91.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8348
309.2 IPS |
|
|
Text Classification (SP)
|
100% |
2097
2.80 KIPS |
|
|
Text Classification (HP)
|
100% |
2208
2.95 KIPS |
|
|
Text Classification (Q)
|
92% |
3765
5.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
2151
37.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2025
34.9 IPS |
|
|
Machine Translation (Q)
|
100% |
2274
39.2 IPS |
