AZW GTi14
Geekbench AI Score
2894
Single Precision Score
1333
Half Precision Score
5751
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | akreykenbohm |
| Upload Date | December 17 2024 07:22 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 7 155H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | AZW GTi14 |
| Motherboard | AZW GTi14 |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2282
424.5 IPS |
|
|
Image Classification (HP)
|
100% |
493
91.8 IPS |
|
|
Image Classification (Q)
|
99% |
4889
911.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1054
17.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
871
14.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2959
48.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4915
5.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
3405
3.97 IPS |
|
|
Pose Estimation (Q)
|
94% |
18605
21.8 IPS |
|
|
Object Detection (SP)
|
100% |
2067
163.9 IPS |
|
|
Object Detection (HP)
|
100% |
613
48.6 IPS |
|
|
Object Detection (Q)
|
86% |
5290
425.1 IPS |
|
|
Face Detection (SP)
|
100% |
5820
69.2 IPS |
|
|
Face Detection (HP)
|
100% |
1444
17.2 IPS |
|
|
Face Detection (Q)
|
97% |
7643
91.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6228
48.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1949
15.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
12581
100.4 IPS |
|
|
Style Transfer (SP)
|
100% |
11639
15.0 IPS |
|
|
Style Transfer (HP)
|
100% |
8535
11.0 IPS |
|
|
Style Transfer (Q)
|
98% |
18530
23.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2086
77.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1694
62.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3615
133.9 IPS |
|
|
Text Classification (SP)
|
100% |
1160
1.55 KIPS |
|
|
Text Classification (HP)
|
100% |
678
905.3 IPS |
|
|
Text Classification (Q)
|
97% |
1538
2.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
1654
28.5 IPS |
|
|
Machine Translation (HP)
|
100% |
717
12.3 IPS |
|
|
Machine Translation (Q)
|
65% |
2807
56.4 IPS |
