LENOVO 10TX0010UK
Geekbench AI Score
2900
Single Precision Score
2891
Half Precision Score
4246
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | TAY-REMEMBERED |
| Upload Date | May 12 2025 12:45 PM |
| Views | 8 |
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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1993
370.7 IPS |
|
|
Image Classification (HP)
|
100% |
1204
223.8 IPS |
|
|
Image Classification (Q)
|
100% |
1803
335.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1628
26.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1648
26.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3205
52.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4399
5.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
4380
5.11 IPS |
|
|
Pose Estimation (Q)
|
94% |
8368
9.82 IPS |
|
|
Object Detection (SP)
|
100% |
1912
151.7 IPS |
|
|
Object Detection (HP)
|
100% |
1860
147.6 IPS |
|
|
Object Detection (Q)
|
87% |
3236
259.6 IPS |
|
|
Face Detection (SP)
|
100% |
2767
32.9 IPS |
|
|
Face Detection (HP)
|
100% |
2826
33.6 IPS |
|
|
Face Detection (Q)
|
97% |
8196
97.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3402
26.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
5188
40.0 IPS |
|
|
Depth Estimation (Q)
|
81% |
8750
69.0 IPS |
|
|
Style Transfer (SP)
|
100% |
11803
15.2 IPS |
|
|
Style Transfer (HP)
|
100% |
11801
15.2 IPS |
|
|
Style Transfer (Q)
|
98% |
22962
29.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2431
89.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2400
88.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2926
108.4 IPS |
|
|
Text Classification (SP)
|
100% |
2037
2.72 KIPS |
|
|
Text Classification (HP)
|
100% |
2153
2.87 KIPS |
|
|
Text Classification (Q)
|
91% |
942
1.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
2811
48.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2831
48.8 IPS |
|
|
Machine Translation (Q)
|
100% |
2685
46.3 IPS |
