LENOVO 10TX0010UK
Geekbench AI Score
2898
Single Precision Score
2925
Half Precision Score
4617
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | TAY-REMEMBERED |
| Upload Date | August 21 2025 07:23 PM |
| Views | 5 |
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% |
1767
328.7 IPS |
|
|
Image Classification (HP)
|
100% |
1904
354.2 IPS |
|
|
Image Classification (Q)
|
100% |
2938
546.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1579
25.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1555
25.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3236
52.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4278
4.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
4290
5.01 IPS |
|
|
Pose Estimation (Q)
|
94% |
8233
9.66 IPS |
|
|
Object Detection (SP)
|
100% |
1829
145.1 IPS |
|
|
Object Detection (HP)
|
100% |
1830
145.1 IPS |
|
|
Object Detection (Q)
|
87% |
3114
249.8 IPS |
|
|
Face Detection (SP)
|
100% |
2657
31.6 IPS |
|
|
Face Detection (HP)
|
100% |
2661
31.6 IPS |
|
|
Face Detection (Q)
|
97% |
7888
94.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4850
37.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
4904
37.8 IPS |
|
|
Depth Estimation (Q)
|
81% |
8425
66.4 IPS |
|
|
Style Transfer (SP)
|
100% |
11568
14.9 IPS |
|
|
Style Transfer (HP)
|
100% |
11649
15.0 IPS |
|
|
Style Transfer (Q)
|
98% |
23111
29.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2351
86.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2361
87.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4673
173.1 IPS |
|
|
Text Classification (SP)
|
100% |
2131
2.84 KIPS |
|
|
Text Classification (HP)
|
100% |
2120
2.83 KIPS |
|
|
Text Classification (Q)
|
91% |
955
1.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
2570
44.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2598
44.8 IPS |
|
|
Machine Translation (Q)
|
100% |
2636
45.4 IPS |
