AZW GTi14
Geekbench AI Score
5030
Single Precision Score
8243
Half Precision Score
3617
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | nnavarro |
| Upload Date | June 19 2025 05:23 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) Graphics |
| 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% |
2614
486.2 IPS |
|
|
Image Classification (HP)
|
100% |
4972
924.6 IPS |
|
|
Image Classification (Q)
|
100% |
2300
427.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3184
51.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
8005
129.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2532
41.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
13650
15.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
20636
24.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
11608
13.6 IPS |
|
|
Object Detection (SP)
|
100% |
2847
225.9 IPS |
|
|
Object Detection (HP)
|
99% |
5452
433.7 IPS |
|
|
Object Detection (Q)
|
86% |
2340
188.1 IPS |
|
|
Face Detection (SP)
|
100% |
4481
53.2 IPS |
|
|
Face Detection (HP)
|
100% |
9094
108.1 IPS |
|
|
Face Detection (Q)
|
97% |
3450
41.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
10729
82.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
22510
174.0 IPS |
|
|
Depth Estimation (Q)
|
76% |
8357
67.1 IPS |
|
|
Style Transfer (SP)
|
100% |
46739
60.1 IPS |
|
|
Style Transfer (HP)
|
100% |
75456
97.0 IPS |
|
|
Style Transfer (Q)
|
98% |
31280
40.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7830
289.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12390
457.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4302
159.3 IPS |
|
|
Text Classification (SP)
|
86% |
831
1.12 KIPS |
|
|
Text Classification (HP)
|
99% |
729
973.5 IPS |
|
|
Text Classification (Q)
|
84% |
614
834.0 IPS |
|
|
Machine Translation (SP)
|
100% |
2195
37.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2320
40.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1019
19.1 IPS |
