DS-086 125H Default string Default string
Geekbench AI Score
2446
Single Precision Score
2414
Half Precision Score
5567
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | shaneGH |
| Upload Date | June 27 2025 07:34 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 125H |
| 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% |
1158
215.3 IPS |
|
|
Image Classification (HP)
|
100% |
1157
215.1 IPS |
|
|
Image Classification (Q)
|
100% |
3693
686.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2001
32.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1988
32.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3751
60.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3592
4.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
3613
4.22 IPS |
|
|
Pose Estimation (Q)
|
96% |
12852
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1313
104.1 IPS |
|
|
Object Detection (HP)
|
100% |
1316
104.4 IPS |
|
|
Object Detection (Q)
|
88% |
3097
248.3 IPS |
|
|
Face Detection (SP)
|
100% |
3937
46.8 IPS |
|
|
Face Detection (HP)
|
100% |
3948
46.9 IPS |
|
|
Face Detection (Q)
|
100% |
7673
91.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3871
29.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3871
29.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
9396
73.1 IPS |
|
|
Style Transfer (SP)
|
100% |
10603
13.6 IPS |
|
|
Style Transfer (HP)
|
100% |
10686
13.7 IPS |
|
|
Style Transfer (Q)
|
98% |
34388
44.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1869
69.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1878
69.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5941
220.0 IPS |
|
|
Text Classification (SP)
|
100% |
1398
1.87 KIPS |
|
|
Text Classification (HP)
|
100% |
1376
1.84 KIPS |
|
|
Text Classification (Q)
|
92% |
2445
3.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
1664
28.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1457
25.1 IPS |
|
|
Machine Translation (Q)
|
100% |
1441
24.8 IPS |
