To be filled by O.E.M. To be filled by O.E.M.
Geekbench AI Score
1227
Single Precision Score
1320
Half Precision Score
840
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | July 14 2025 03:45 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics |
| 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% |
533
99.1 IPS |
|
|
Image Classification (HP)
|
100% |
561
104.3 IPS |
|
|
Image Classification (Q)
|
100% |
467
86.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
734
11.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
884
14.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
558
9.07 IPS |
|
|
Pose Estimation (SP)
|
100% |
3908
4.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
4514
5.27 IPS |
|
|
Pose Estimation (Q)
|
96% |
2722
3.19 IPS |
|
|
Object Detection (SP)
|
100% |
619
49.1 IPS |
|
|
Object Detection (HP)
|
98% |
535
42.5 IPS |
|
|
Object Detection (Q)
|
86% |
520
41.8 IPS |
|
|
Face Detection (SP)
|
100% |
1103
13.1 IPS |
|
|
Face Detection (HP)
|
100% |
1344
16.0 IPS |
|
|
Face Detection (Q)
|
97% |
839
10.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2350
18.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
2648
20.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
1721
13.8 IPS |
|
|
Style Transfer (SP)
|
100% |
8019
10.3 IPS |
|
|
Style Transfer (HP)
|
100% |
11140
14.3 IPS |
|
|
Style Transfer (Q)
|
98% |
5769
7.44 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1404
51.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1927
71.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
708
26.2 IPS |
|
|
Text Classification (SP)
|
100% |
532
710.6 IPS |
|
|
Text Classification (HP)
|
100% |
333
444.1 IPS |
|
|
Text Classification (Q)
|
97% |
284
380.9 IPS |
|
|
Machine Translation (SP)
|
100% |
528
9.09 IPS |
|
|
Machine Translation (HP)
|
100% |
530
9.14 IPS |
|
|
Machine Translation (Q)
|
70% |
284
5.33 IPS |
