To be filled by O.E.M. To be filled by O.E.M.
Geekbench AI Score
1283
Single Precision Score
1278
Half Precision Score
2430
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | July 14 2025 03:52 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) 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% |
732
136.1 IPS |
|
|
Image Classification (HP)
|
100% |
726
135.0 IPS |
|
|
Image Classification (Q)
|
100% |
1545
287.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
873
14.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
872
14.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1643
26.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1619
1.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
1599
1.87 IPS |
|
|
Pose Estimation (Q)
|
96% |
3276
3.84 IPS |
|
|
Object Detection (SP)
|
100% |
735
58.3 IPS |
|
|
Object Detection (HP)
|
100% |
756
59.9 IPS |
|
|
Object Detection (Q)
|
88% |
1535
123.1 IPS |
|
|
Face Detection (SP)
|
100% |
1826
21.7 IPS |
|
|
Face Detection (HP)
|
100% |
1798
21.4 IPS |
|
|
Face Detection (Q)
|
100% |
3997
47.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2024
15.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2040
15.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
4289
33.4 IPS |
|
|
Style Transfer (SP)
|
100% |
4296
5.52 IPS |
|
|
Style Transfer (HP)
|
100% |
4594
5.91 IPS |
|
|
Style Transfer (Q)
|
98% |
10901
14.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
925
34.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
842
31.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2195
81.3 IPS |
|
|
Text Classification (SP)
|
100% |
885
1.18 KIPS |
|
|
Text Classification (HP)
|
100% |
855
1.14 KIPS |
|
|
Text Classification (Q)
|
92% |
1113
1.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
1223
21.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1256
21.6 IPS |
|
|
Machine Translation (Q)
|
100% |
1232
21.2 IPS |
