Default string Default string
Geekbench AI Score
660
Single Precision Score
319
Half Precision Score
1104
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | thanhhieu1472 |
| Upload Date | June 01 2025 06:32 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) N150 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Default string Default string |
| Motherboard | Default string Default string |
| Power Plan | Balanced |
| 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% |
606
112.7 IPS |
|
|
Image Classification (HP)
|
100% |
127
23.6 IPS |
|
|
Image Classification (Q)
|
99% |
783
146.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
343
5.56 IPS |
|
|
Image Segmentation (HP)
|
100% |
214
3.47 IPS |
|
|
Image Segmentation (Q)
|
98% |
696
11.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
686
0.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
536
0.63 IPS |
|
|
Pose Estimation (Q)
|
94% |
1715
2.01 IPS |
|
|
Object Detection (SP)
|
100% |
435
34.5 IPS |
|
|
Object Detection (HP)
|
100% |
169
13.4 IPS |
|
|
Object Detection (Q)
|
86% |
805
64.7 IPS |
|
|
Face Detection (SP)
|
100% |
1092
13.0 IPS |
|
|
Face Detection (HP)
|
100% |
409
4.86 IPS |
|
|
Face Detection (Q)
|
97% |
1747
20.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1062
8.18 IPS |
|
|
Depth Estimation (HP)
|
99% |
452
3.48 IPS |
|
|
Depth Estimation (Q)
|
78% |
1790
14.3 IPS |
|
|
Style Transfer (SP)
|
100% |
1816
2.33 IPS |
|
|
Style Transfer (HP)
|
100% |
1372
1.76 IPS |
|
|
Style Transfer (Q)
|
98% |
3316
4.28 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
432
16.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
305
11.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
755
28.0 IPS |
|
|
Text Classification (SP)
|
100% |
433
577.3 IPS |
|
|
Text Classification (HP)
|
100% |
248
330.5 IPS |
|
|
Text Classification (Q)
|
97% |
535
716.9 IPS |
|
|
Machine Translation (SP)
|
100% |
644
11.1 IPS |
|
|
Machine Translation (HP)
|
100% |
238
4.10 IPS |
|
|
Machine Translation (Q)
|
65% |
859
17.3 IPS |
