AZW GTi14
Geekbench AI Score
3247
Single Precision Score
1437
Half Precision Score
6528
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | AceHack |
| Upload Date | August 12 2025 08:33 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2515
467.7 IPS |
|
|
Image Classification (HP)
|
100% |
550
102.3 IPS |
|
|
Image Classification (Q)
|
99% |
5229
975.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1226
19.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
949
15.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
7039
114.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5219
6.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
3743
4.37 IPS |
|
|
Pose Estimation (Q)
|
94% |
19721
23.1 IPS |
|
|
Object Detection (SP)
|
100% |
2378
188.7 IPS |
|
|
Object Detection (HP)
|
100% |
694
55.1 IPS |
|
|
Object Detection (Q)
|
86% |
5545
445.6 IPS |
|
|
Face Detection (SP)
|
100% |
6850
81.4 IPS |
|
|
Face Detection (HP)
|
100% |
1541
18.3 IPS |
|
|
Face Detection (Q)
|
97% |
7956
94.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6573
50.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2092
16.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
13469
107.5 IPS |
|
|
Style Transfer (SP)
|
100% |
12621
16.2 IPS |
|
|
Style Transfer (HP)
|
100% |
9240
11.9 IPS |
|
|
Style Transfer (Q)
|
98% |
19061
24.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2294
84.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1698
62.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4371
161.9 IPS |
|
|
Text Classification (SP)
|
100% |
1372
1.83 KIPS |
|
|
Text Classification (HP)
|
100% |
642
857.3 IPS |
|
|
Text Classification (Q)
|
97% |
1359
1.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
1905
32.8 IPS |
|
|
Machine Translation (HP)
|
100% |
854
14.7 IPS |
|
|
Machine Translation (Q)
|
65% |
2880
57.9 IPS |
