DS-086 125H Default string Default string
Geekbench AI Score
4796
Single Precision Score
7246
Half Precision Score
10458
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | shaneGH |
| Upload Date | June 27 2025 07:53 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Graphics (iGPU) |
| 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% |
3347
622.4 IPS |
|
|
Image Classification (HP)
|
100% |
4932
917.2 IPS |
|
|
Image Classification (Q)
|
100% |
5760
1.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3719
60.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
7778
126.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
10648
172.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10593
12.4 IPS |
|
|
Pose Estimation (HP)
|
99% |
9592
11.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
31398
36.8 IPS |
|
|
Object Detection (SP)
|
100% |
3062
242.9 IPS |
|
|
Object Detection (HP)
|
100% |
5062
401.5 IPS |
|
|
Object Detection (Q)
|
88% |
7345
588.6 IPS |
|
|
Face Detection (SP)
|
100% |
6958
82.7 IPS |
|
|
Face Detection (HP)
|
100% |
12767
151.7 IPS |
|
|
Face Detection (Q)
|
100% |
18466
219.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
10911
84.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
18436
142.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
19383
150.7 IPS |
|
|
Style Transfer (SP)
|
100% |
26562
34.1 IPS |
|
|
Style Transfer (HP)
|
100% |
36732
47.2 IPS |
|
|
Style Transfer (Q)
|
98% |
77327
99.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4783
176.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7981
294.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11403
422.3 IPS |
|
|
Text Classification (SP)
|
71% |
1059
1.53 KIPS |
|
|
Text Classification (HP)
|
71% |
1405
2.03 KIPS |
|
|
Text Classification (Q)
|
92% |
1590
2.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
1562
26.9 IPS |
|
|
Machine Translation (HP)
|
96% |
2210
38.2 IPS |
|
|
Machine Translation (Q)
|
100% |
2206
38.0 IPS |
