Default string Default string
Geekbench AI Score
2051
Single Precision Score
3561
Half Precision Score
5456
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | April 15 2025 08:20 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 IoT Enterprise LTSC (64-bit) |
| Model | Default string Default string |
| Motherboard | Default string Default string |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 5 125H |
| Topology | 1 Processor, 14 Cores, 18 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1275
237.1 IPS |
|
|
Image Classification (HP)
|
100% |
2607
484.9 IPS |
|
|
Image Classification (Q)
|
100% |
3608
671.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1767
28.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1123
18.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
1439
23.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2751
3.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
13438
15.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
28941
33.9 IPS |
|
|
Object Detection (SP)
|
100% |
1311
104.0 IPS |
|
|
Object Detection (HP)
|
100% |
2102
166.7 IPS |
|
|
Object Detection (Q)
|
89% |
3820
305.9 IPS |
|
|
Face Detection (SP)
|
100% |
3524
41.9 IPS |
|
|
Face Detection (HP)
|
100% |
5843
69.4 IPS |
|
|
Face Detection (Q)
|
100% |
11056
131.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3788
29.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
7582
58.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
14609
113.7 IPS |
|
|
Style Transfer (SP)
|
100% |
8974
11.5 IPS |
|
|
Style Transfer (HP)
|
100% |
22537
29.0 IPS |
|
|
Style Transfer (Q)
|
98% |
39198
50.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1676
61.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5211
192.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8638
319.9 IPS |
|
|
Text Classification (SP)
|
100% |
502
669.9 IPS |
|
|
Text Classification (HP)
|
100% |
546
728.5 IPS |
|
|
Text Classification (Q)
|
92% |
534
717.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1616
27.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1399
24.1 IPS |
|
|
Machine Translation (Q)
|
100% |
1395
24.0 IPS |
