DS-086 125U Default string Default string
Geekbench AI Score
2150
Single Precision Score
837
Half Precision Score
4353
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | shaneGH |
| Upload Date | June 27 2025 08:33 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 125U |
| 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% |
1768
328.9 IPS |
|
|
Image Classification (HP)
|
100% |
400
74.3 IPS |
|
|
Image Classification (Q)
|
99% |
3990
744.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
957
15.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
646
10.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2609
42.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3144
3.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
1546
1.80 IPS |
|
|
Pose Estimation (Q)
|
94% |
10895
12.8 IPS |
|
|
Object Detection (SP)
|
100% |
1582
125.5 IPS |
|
|
Object Detection (HP)
|
100% |
395
31.3 IPS |
|
|
Object Detection (Q)
|
86% |
3794
304.9 IPS |
|
|
Face Detection (SP)
|
100% |
3969
47.2 IPS |
|
|
Face Detection (HP)
|
100% |
992
11.8 IPS |
|
|
Face Detection (Q)
|
97% |
5788
69.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4529
34.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1120
8.63 IPS |
|
|
Depth Estimation (Q)
|
78% |
9629
76.8 IPS |
|
|
Style Transfer (SP)
|
100% |
6799
8.74 IPS |
|
|
Style Transfer (HP)
|
100% |
4190
5.39 IPS |
|
|
Style Transfer (Q)
|
98% |
12018
15.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1453
53.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
932
34.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2610
96.6 IPS |
|
|
Text Classification (SP)
|
100% |
1136
1.52 KIPS |
|
|
Text Classification (HP)
|
100% |
540
720.7 IPS |
|
|
Text Classification (Q)
|
97% |
1530
2.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
1246
21.5 IPS |
|
|
Machine Translation (HP)
|
100% |
460
7.92 IPS |
|
|
Machine Translation (Q)
|
65% |
2127
42.7 IPS |
