To be filled by O.E.M. To be filled by O.E.M.
Geekbench AI Score
1103
Single Precision Score
520
Half Precision Score
1732
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | July 14 2025 03:35 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i3-N300 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | To be filled by O.E.M. To be filled by O.E.M. |
| Motherboard | To be filled by O.E.M. To be filled by O.E.M. |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i3-N300 |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 190 Stepping 0 |
| Base Frequency | 800 MHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
842
156.5 IPS |
|
|
Image Classification (HP)
|
100% |
207
38.6 IPS |
|
|
Image Classification (Q)
|
99% |
1404
261.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
453
7.34 IPS |
|
|
Image Segmentation (HP)
|
100% |
302
4.90 IPS |
|
|
Image Segmentation (Q)
|
98% |
1064
17.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1690
1.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
1275
1.49 IPS |
|
|
Pose Estimation (Q)
|
94% |
3641
4.27 IPS |
|
|
Object Detection (SP)
|
100% |
802
63.6 IPS |
|
|
Object Detection (HP)
|
100% |
260
20.6 IPS |
|
|
Object Detection (Q)
|
86% |
1425
114.5 IPS |
|
|
Face Detection (SP)
|
100% |
1637
19.5 IPS |
|
|
Face Detection (HP)
|
100% |
570
6.77 IPS |
|
|
Face Detection (Q)
|
97% |
2646
31.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2260
17.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
749
5.77 IPS |
|
|
Depth Estimation (Q)
|
78% |
3153
25.2 IPS |
|
|
Style Transfer (SP)
|
100% |
4113
5.29 IPS |
|
|
Style Transfer (HP)
|
100% |
3090
3.97 IPS |
|
|
Style Transfer (Q)
|
98% |
5481
7.07 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
771
28.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
620
22.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1122
41.5 IPS |
|
|
Text Classification (SP)
|
100% |
535
714.0 IPS |
|
|
Text Classification (HP)
|
100% |
292
389.3 IPS |
|
|
Text Classification (Q)
|
97% |
596
798.7 IPS |
|
|
Machine Translation (SP)
|
100% |
823
14.2 IPS |
|
|
Machine Translation (HP)
|
100% |
296
5.11 IPS |
|
|
Machine Translation (Q)
|
65% |
1026
20.6 IPS |
