LENOVO 10TX0010UK
Geekbench AI Score
2653
Single Precision Score
2681
Half Precision Score
4203
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | TAY-REMEMBERED |
| Upload Date | July 04 2025 03:23 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% |
1810
336.6 IPS |
|
|
Image Classification (HP)
|
100% |
1845
343.1 IPS |
|
|
Image Classification (Q)
|
100% |
2935
545.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1482
24.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1604
26.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3227
52.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3458
4.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
3794
4.43 IPS |
|
|
Pose Estimation (Q)
|
94% |
5431
6.37 IPS |
|
|
Object Detection (SP)
|
100% |
1207
95.8 IPS |
|
|
Object Detection (HP)
|
100% |
1726
136.9 IPS |
|
|
Object Detection (Q)
|
87% |
3182
255.2 IPS |
|
|
Face Detection (SP)
|
100% |
2749
32.7 IPS |
|
|
Face Detection (HP)
|
100% |
2769
32.9 IPS |
|
|
Face Detection (Q)
|
97% |
8040
95.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3316
25.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3291
25.4 IPS |
|
|
Depth Estimation (Q)
|
81% |
6700
52.8 IPS |
|
|
Style Transfer (SP)
|
100% |
11855
15.2 IPS |
|
|
Style Transfer (HP)
|
100% |
11767
15.1 IPS |
|
|
Style Transfer (Q)
|
98% |
23409
30.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2400
88.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1596
58.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3837
142.1 IPS |
|
|
Text Classification (SP)
|
100% |
2129
2.84 KIPS |
|
|
Text Classification (HP)
|
100% |
2129
2.84 KIPS |
|
|
Text Classification (Q)
|
91% |
807
1.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
2798
48.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2718
46.8 IPS |
|
|
Machine Translation (Q)
|
100% |
2696
46.4 IPS |
