LENOVO 10TX0010UK
Geekbench AI Score
2551
Single Precision Score
2582
Half Precision Score
4054
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | TAY-REMEMBERED |
| Upload Date | September 09 2025 05:53 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-8400 CPU @ 2.80GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 10TX0010UK |
| Motherboard | LENOVO 3140 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-8400 |
| Topology | 1 Processor, 6 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 2.81 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1156
215.0 IPS |
|
|
Image Classification (HP)
|
100% |
1161
215.9 IPS |
|
|
Image Classification (Q)
|
100% |
1871
348.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1653
26.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1642
26.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3347
54.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4367
5.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
4188
4.89 IPS |
|
|
Pose Estimation (Q)
|
94% |
8251
9.68 IPS |
|
|
Object Detection (SP)
|
100% |
1697
134.6 IPS |
|
|
Object Detection (HP)
|
100% |
1342
106.4 IPS |
|
|
Object Detection (Q)
|
87% |
3217
258.0 IPS |
|
|
Face Detection (SP)
|
100% |
2757
32.8 IPS |
|
|
Face Detection (HP)
|
100% |
2834
33.7 IPS |
|
|
Face Detection (Q)
|
97% |
8353
99.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5233
40.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
5084
39.2 IPS |
|
|
Depth Estimation (Q)
|
81% |
8760
69.1 IPS |
|
|
Style Transfer (SP)
|
100% |
6415
8.25 IPS |
|
|
Style Transfer (HP)
|
100% |
7953
10.2 IPS |
|
|
Style Transfer (Q)
|
98% |
14596
18.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1571
58.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2472
91.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4939
182.9 IPS |
|
|
Text Classification (SP)
|
100% |
2194
2.93 KIPS |
|
|
Text Classification (HP)
|
100% |
1666
2.22 KIPS |
|
|
Text Classification (Q)
|
91% |
543
729.7 IPS |
|
|
Machine Translation (SP)
|
100% |
2592
44.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2611
45.0 IPS |
|
|
Machine Translation (Q)
|
100% |
2522
43.4 IPS |
