To be filled by O.E.M. To be filled by O.E.M.
Geekbench AI Score
1726
Single Precision Score
2478
Half Precision Score
3767
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | July 14 2025 03:58 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics (iGPU) |
| 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% |
1059
196.9 IPS |
|
|
Image Classification (HP)
|
100% |
1464
272.3 IPS |
|
|
Image Classification (Q)
|
99% |
2218
413.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1494
24.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2669
43.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3142
50.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3278
3.83 IPS |
|
|
Pose Estimation (HP)
|
99% |
2409
2.81 IPS |
|
|
Pose Estimation (Q)
|
97% |
9954
11.7 IPS |
|
|
Object Detection (SP)
|
100% |
1028
81.6 IPS |
|
|
Object Detection (HP)
|
98% |
1599
127.2 IPS |
|
|
Object Detection (Q)
|
90% |
2461
196.7 IPS |
|
|
Face Detection (SP)
|
100% |
2495
29.6 IPS |
|
|
Face Detection (HP)
|
100% |
4645
55.2 IPS |
|
|
Face Detection (Q)
|
100% |
6752
80.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3700
28.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
6225
48.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
8150
63.4 IPS |
|
|
Style Transfer (SP)
|
100% |
8337
10.7 IPS |
|
|
Style Transfer (HP)
|
100% |
13487
17.3 IPS |
|
|
Style Transfer (Q)
|
98% |
22520
29.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1476
54.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2352
86.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4503
166.8 IPS |
|
|
Text Classification (SP)
|
71% |
586
848.1 IPS |
|
|
Text Classification (HP)
|
71% |
676
978.3 IPS |
|
|
Text Classification (Q)
|
92% |
637
856.1 IPS |
|
|
Machine Translation (SP)
|
100% |
663
11.4 IPS |
|
|
Machine Translation (HP)
|
98% |
938
16.2 IPS |
|
|
Machine Translation (Q)
|
100% |
950
16.4 IPS |
