AZW GTi14
Geekbench AI Score
24830
Single Precision Score
40951
Half Precision Score
19923
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 08 2025 04:37 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 Ti |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9571
1.78 KIPS |
|
|
Image Classification (HP)
|
100% |
13913
2.59 KIPS |
|
|
Image Classification (Q)
|
100% |
8758
1.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18098
293.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
24419
395.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
16533
268.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
146622
171.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
536933
626.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
133538
156.4 IPS |
|
|
Object Detection (SP)
|
100% |
12335
978.4 IPS |
|
|
Object Detection (HP)
|
100% |
18375
1.46 KIPS |
|
|
Object Detection (Q)
|
86% |
10900
875.7 IPS |
|
|
Face Detection (SP)
|
100% |
37107
440.9 IPS |
|
|
Face Detection (HP)
|
100% |
50354
598.3 IPS |
|
|
Face Detection (Q)
|
97% |
32577
388.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
68348
526.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
118123
910.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
53580
427.9 IPS |
|
|
Style Transfer (SP)
|
100% |
253509
325.9 IPS |
|
|
Style Transfer (HP)
|
100% |
728329
936.3 IPS |
|
|
Style Transfer (Q)
|
98% |
214450
276.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
33538
1.24 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
52079
1.92 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26964
998.4 IPS |
|
|
Text Classification (SP)
|
100% |
2734
3.65 KIPS |
|
|
Text Classification (HP)
|
100% |
3614
4.82 KIPS |
|
|
Text Classification (Q)
|
97% |
1839
2.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
4824
83.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4853
83.6 IPS |
|
|
Machine Translation (Q)
|
70% |
2519
47.3 IPS |
