LENOVO 10TX0010UK
Geekbench AI Score
822
Single Precision Score
910
Half Precision Score
648
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | TAY-REMEMBERED |
| Upload Date | November 30 2025 05:28 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 630 |
| 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% |
367
68.2 IPS |
|
|
Image Classification (HP)
|
100% |
375
69.7 IPS |
|
|
Image Classification (Q)
|
100% |
335
62.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
527
8.55 IPS |
|
|
Image Segmentation (HP)
|
100% |
558
9.05 IPS |
|
|
Image Segmentation (Q)
|
98% |
426
6.93 IPS |
|
|
Pose Estimation (SP)
|
100% |
2106
2.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
3261
3.81 IPS |
|
|
Pose Estimation (Q)
|
97% |
1872
2.19 IPS |
|
|
Object Detection (SP)
|
100% |
433
34.3 IPS |
|
|
Object Detection (HP)
|
98% |
337
26.8 IPS |
|
|
Object Detection (Q)
|
86% |
380
30.6 IPS |
|
|
Face Detection (SP)
|
100% |
799
9.50 IPS |
|
|
Face Detection (HP)
|
100% |
954
11.3 IPS |
|
|
Face Detection (Q)
|
97% |
668
7.97 IPS |
|
|
Depth Estimation (SP)
|
100% |
1586
12.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
1925
14.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
1296
10.4 IPS |
|
|
Style Transfer (SP)
|
100% |
5430
6.98 IPS |
|
|
Style Transfer (HP)
|
100% |
8068
10.4 IPS |
|
|
Style Transfer (Q)
|
98% |
4492
5.79 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1054
38.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1444
53.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
775
28.7 IPS |
|
|
Text Classification (SP)
|
100% |
323
430.8 IPS |
|
|
Text Classification (HP)
|
100% |
260
347.3 IPS |
|
|
Text Classification (Q)
|
97% |
202
271.1 IPS |
|
|
Machine Translation (SP)
|
100% |
343
5.91 IPS |
|
|
Machine Translation (HP)
|
100% |
306
5.26 IPS |
|
|
Machine Translation (Q)
|
70% |
212
3.98 IPS |
