LENOVO 10TX0010UK
Geekbench AI Score
2353
Single Precision Score
2296
Half Precision Score
3452
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | TAY-REMEMBERED |
| Upload Date | June 27 2025 02:11 PM |
| Views | 3 |
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% |
1127
209.6 IPS |
|
|
Image Classification (HP)
|
100% |
1132
210.5 IPS |
|
|
Image Classification (Q)
|
100% |
1769
329.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1145
18.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1137
18.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
1960
31.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4169
4.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
4128
4.82 IPS |
|
|
Pose Estimation (Q)
|
94% |
5464
6.41 IPS |
|
|
Object Detection (SP)
|
100% |
1824
144.7 IPS |
|
|
Object Detection (HP)
|
100% |
1815
144.0 IPS |
|
|
Object Detection (Q)
|
87% |
3108
249.3 IPS |
|
|
Face Detection (SP)
|
100% |
2739
32.5 IPS |
|
|
Face Detection (HP)
|
100% |
2675
31.8 IPS |
|
|
Face Detection (Q)
|
97% |
4586
54.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2997
23.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3004
23.1 IPS |
|
|
Depth Estimation (Q)
|
81% |
8466
66.8 IPS |
|
|
Style Transfer (SP)
|
100% |
10860
14.0 IPS |
|
|
Style Transfer (HP)
|
100% |
11501
14.8 IPS |
|
|
Style Transfer (Q)
|
98% |
22839
29.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1595
58.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1617
59.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2620
97.1 IPS |
|
|
Text Classification (SP)
|
100% |
1458
1.95 KIPS |
|
|
Text Classification (HP)
|
100% |
1441
1.92 KIPS |
|
|
Text Classification (Q)
|
91% |
930
1.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
2563
44.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1965
33.8 IPS |
|
|
Machine Translation (Q)
|
100% |
1892
32.6 IPS |
