Test device raw gpu Default string Default string
Geekbench AI Score
1058
Single Precision Score
1602
Half Precision Score
2266
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | paulwalsh19 |
| Upload Date | April 28 2025 01:39 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Default string Default string |
| Motherboard | Default string Default string |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel(R) N150 |
| 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% |
655
121.7 IPS |
|
|
Image Classification (HP)
|
100% |
1078
200.4 IPS |
|
|
Image Classification (Q)
|
99% |
1472
274.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
937
15.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1689
27.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
1951
31.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1599
1.87 IPS |
|
|
Pose Estimation (HP)
|
99% |
1347
1.57 IPS |
|
|
Pose Estimation (Q)
|
97% |
4599
5.38 IPS |
|
|
Object Detection (SP)
|
100% |
609
48.3 IPS |
|
|
Object Detection (HP)
|
99% |
1032
81.9 IPS |
|
|
Object Detection (Q)
|
90% |
1592
127.3 IPS |
|
|
Face Detection (SP)
|
100% |
1929
22.9 IPS |
|
|
Face Detection (HP)
|
100% |
3380
40.2 IPS |
|
|
Face Detection (Q)
|
100% |
3986
47.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1997
15.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
3587
27.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
4542
35.3 IPS |
|
|
Style Transfer (SP)
|
100% |
4518
5.81 IPS |
|
|
Style Transfer (HP)
|
100% |
6923
8.90 IPS |
|
|
Style Transfer (Q)
|
98% |
11358
14.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
803
29.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1367
50.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2332
86.4 IPS |
|
|
Text Classification (SP)
|
71% |
449
649.7 IPS |
|
|
Text Classification (HP)
|
71% |
550
795.4 IPS |
|
|
Text Classification (Q)
|
92% |
501
673.7 IPS |
|
|
Machine Translation (SP)
|
100% |
472
8.12 IPS |
|
|
Machine Translation (HP)
|
98% |
700
12.1 IPS |
|
|
Machine Translation (Q)
|
100% |
708
12.2 IPS |
