ARK-1251 125U Default string Default string
Geekbench AI Score
2422
Single Precision Score
7101
Half Precision Score
10996
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | shaneGH |
| Upload Date | June 30 2025 09:17 AM |
| Views | 12 |
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 | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 125U |
| Topology | 1 Processor, 12 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1334
248.0 IPS |
|
|
Image Classification (HP)
|
100% |
5339
992.9 IPS |
|
|
Image Classification (Q)
|
100% |
7383
1.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1874
30.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2273
36.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3013
48.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2954
3.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
29359
34.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
62776
73.5 IPS |
|
|
Object Detection (SP)
|
100% |
1366
108.3 IPS |
|
|
Object Detection (HP)
|
100% |
4262
338.1 IPS |
|
|
Object Detection (Q)
|
89% |
7400
592.6 IPS |
|
|
Face Detection (SP)
|
100% |
3825
45.4 IPS |
|
|
Face Detection (HP)
|
100% |
10466
124.4 IPS |
|
|
Face Detection (Q)
|
100% |
21598
256.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3904
30.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
14775
113.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
28188
219.3 IPS |
|
|
Style Transfer (SP)
|
100% |
8978
11.5 IPS |
|
|
Style Transfer (HP)
|
100% |
43395
55.8 IPS |
|
|
Style Transfer (Q)
|
98% |
77327
99.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1696
62.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11028
407.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18178
673.2 IPS |
|
|
Text Classification (SP)
|
100% |
1584
2.11 KIPS |
|
|
Text Classification (HP)
|
100% |
1129
1.51 KIPS |
|
|
Text Classification (Q)
|
92% |
1113
1.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
1916
33.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2573
44.3 IPS |
|
|
Machine Translation (Q)
|
100% |
2628
45.3 IPS |
