DS-086 125U Default string Default string
Geekbench AI Score
2306
Single Precision Score
2200
Half Precision Score
5893
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | shaneGH |
| Upload Date | June 27 2025 06:21 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| 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% |
1311
243.8 IPS |
|
|
Image Classification (HP)
|
100% |
1292
240.2 IPS |
|
|
Image Classification (Q)
|
100% |
4002
744.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1892
30.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1919
31.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4004
64.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3080
3.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
2161
2.52 IPS |
|
|
Pose Estimation (Q)
|
96% |
10069
11.8 IPS |
|
|
Object Detection (SP)
|
100% |
1239
98.2 IPS |
|
|
Object Detection (HP)
|
100% |
1276
101.2 IPS |
|
|
Object Detection (Q)
|
88% |
3821
306.3 IPS |
|
|
Face Detection (SP)
|
100% |
3712
44.1 IPS |
|
|
Face Detection (HP)
|
100% |
3670
43.6 IPS |
|
|
Face Detection (Q)
|
100% |
8601
102.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3604
27.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3451
26.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
9863
76.7 IPS |
|
|
Style Transfer (SP)
|
100% |
7702
9.90 IPS |
|
|
Style Transfer (HP)
|
100% |
7570
9.73 IPS |
|
|
Style Transfer (Q)
|
98% |
31795
41.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1627
60.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1614
59.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6271
232.2 IPS |
|
|
Text Classification (SP)
|
100% |
1548
2.07 KIPS |
|
|
Text Classification (HP)
|
100% |
1561
2.08 KIPS |
|
|
Text Classification (Q)
|
92% |
2932
3.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
1734
29.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1615
27.8 IPS |
|
|
Machine Translation (Q)
|
100% |
1654
28.5 IPS |
