DS-086 125U Default string Default string
Geekbench AI Score
2438
Single Precision Score
5810
Half Precision Score
8576
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | shaneGH |
| Upload Date | June 27 2025 06:32 AM |
| Views | 11 |
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(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% |
1306
242.9 IPS |
|
|
Image Classification (HP)
|
100% |
4038
751.0 IPS |
|
|
Image Classification (Q)
|
100% |
5704
1.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1833
29.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1536
24.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2075
33.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3339
3.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
23591
27.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
50413
59.1 IPS |
|
|
Object Detection (SP)
|
100% |
1321
104.7 IPS |
|
|
Object Detection (HP)
|
100% |
3566
282.9 IPS |
|
|
Object Detection (Q)
|
89% |
5963
477.6 IPS |
|
|
Face Detection (SP)
|
100% |
3776
44.9 IPS |
|
|
Face Detection (HP)
|
100% |
9530
113.2 IPS |
|
|
Face Detection (Q)
|
100% |
16887
200.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3990
30.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
12586
97.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
20995
163.3 IPS |
|
|
Style Transfer (SP)
|
100% |
9544
12.3 IPS |
|
|
Style Transfer (HP)
|
100% |
36861
47.4 IPS |
|
|
Style Transfer (Q)
|
98% |
65452
84.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1796
66.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9582
353.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15515
574.6 IPS |
|
|
Text Classification (SP)
|
100% |
1573
2.10 KIPS |
|
|
Text Classification (HP)
|
100% |
835
1.11 KIPS |
|
|
Text Classification (Q)
|
92% |
819
1.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
1735
29.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2375
40.9 IPS |
|
|
Machine Translation (Q)
|
100% |
2053
35.4 IPS |
