Default string Default string
Geekbench AI Score
988
Single Precision Score
1544
Half Precision Score
2216
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | roberotto |
| Upload Date | October 11 2025 04:30 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Default string Default string |
| Motherboard | Default string Default string |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | Intel N100 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 190 Stepping 0 |
| Base Frequency | 800 MHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
611
113.6 IPS |
|
|
Image Classification (HP)
|
100% |
936
174.0 IPS |
|
|
Image Classification (Q)
|
99% |
1328
247.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
927
15.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1687
27.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
1820
29.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1584
1.85 IPS |
|
|
Pose Estimation (HP)
|
99% |
1336
1.56 IPS |
|
|
Pose Estimation (Q)
|
97% |
4551
5.33 IPS |
|
|
Object Detection (SP)
|
100% |
582
46.2 IPS |
|
|
Object Detection (HP)
|
99% |
944
74.9 IPS |
|
|
Object Detection (Q)
|
90% |
1535
122.7 IPS |
|
|
Face Detection (SP)
|
100% |
1979
23.5 IPS |
|
|
Face Detection (HP)
|
100% |
3344
39.7 IPS |
|
|
Face Detection (Q)
|
100% |
3980
47.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1923
14.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
3474
26.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
4440
34.5 IPS |
|
|
Style Transfer (SP)
|
100% |
4471
5.75 IPS |
|
|
Style Transfer (HP)
|
100% |
6757
8.69 IPS |
|
|
Style Transfer (Q)
|
98% |
11149
14.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
781
28.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1343
49.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2283
84.6 IPS |
|
|
Text Classification (SP)
|
71% |
334
483.0 IPS |
|
|
Text Classification (HP)
|
71% |
487
704.2 IPS |
|
|
Text Classification (Q)
|
92% |
498
669.3 IPS |
|
|
Machine Translation (SP)
|
100% |
386
6.64 IPS |
|
|
Machine Translation (HP)
|
98% |
755
13.0 IPS |
|
|
Machine Translation (Q)
|
100% |
757
13.0 IPS |
