LENOVO 10TX0010UK
Geekbench AI Score
2160
Single Precision Score
1002
Half Precision Score
3247
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | TAY-REMEMBERED |
| Upload Date | November 30 2025 05:13 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-8400 |
| 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% |
1816
337.6 IPS |
|
|
Image Classification (HP)
|
100% |
341
63.5 IPS |
|
|
Image Classification (Q)
|
96% |
2614
488.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
769
12.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
512
8.31 IPS |
|
|
Image Segmentation (Q)
|
97% |
3274
53.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3756
4.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
3265
3.81 IPS |
|
|
Pose Estimation (Q)
|
86% |
7287
8.61 IPS |
|
|
Object Detection (SP)
|
100% |
1672
132.6 IPS |
|
|
Object Detection (HP)
|
100% |
446
35.4 IPS |
|
|
Object Detection (Q)
|
58% |
1891
206.7 IPS |
|
|
Face Detection (SP)
|
100% |
2189
26.0 IPS |
|
|
Face Detection (HP)
|
100% |
842
10.0 IPS |
|
|
Face Detection (Q)
|
96% |
4414
52.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4482
34.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1363
10.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
5982
47.7 IPS |
|
|
Style Transfer (SP)
|
100% |
9085
11.7 IPS |
|
|
Style Transfer (HP)
|
100% |
7380
9.49 IPS |
|
|
Style Transfer (Q)
|
87% |
9359
12.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1627
60.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1421
52.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2822
104.6 IPS |
|
|
Text Classification (SP)
|
100% |
1265
1.69 KIPS |
|
|
Text Classification (HP)
|
100% |
641
855.7 IPS |
|
|
Text Classification (Q)
|
97% |
996
1.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
1376
23.7 IPS |
|
|
Machine Translation (HP)
|
100% |
521
8.98 IPS |
|
|
Machine Translation (Q)
|
68% |
1595
30.8 IPS |
