LENOVO 10TX0010UK
Geekbench AI Score
1366
Single Precision Score
1334
Half Precision Score
1078
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | TAY-REMEMBERED |
| Upload Date | November 30 2025 05:09 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA Quadro K1200 |
| 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% |
575
106.9 IPS |
|
|
Image Classification (HP)
|
100% |
563
104.7 IPS |
|
|
Image Classification (Q)
|
99% |
501
93.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
619
10.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
612
9.92 IPS |
|
|
Image Segmentation (Q)
|
98% |
534
8.68 IPS |
|
|
Pose Estimation (SP)
|
100% |
5362
6.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
4988
5.82 IPS |
|
|
Pose Estimation (Q)
|
96% |
4740
5.55 IPS |
|
|
Object Detection (SP)
|
100% |
656
52.1 IPS |
|
|
Object Detection (HP)
|
100% |
649
51.5 IPS |
|
|
Object Detection (Q)
|
83% |
565
45.6 IPS |
|
|
Face Detection (SP)
|
100% |
1144
13.6 IPS |
|
|
Face Detection (HP)
|
100% |
1141
13.6 IPS |
|
|
Face Detection (Q)
|
97% |
970
11.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2841
21.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2748
21.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
2311
18.5 IPS |
|
|
Style Transfer (SP)
|
100% |
8450
10.9 IPS |
|
|
Style Transfer (HP)
|
100% |
8341
10.7 IPS |
|
|
Style Transfer (Q)
|
98% |
7382
9.52 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2398
88.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2243
82.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1719
63.6 IPS |
|
|
Text Classification (SP)
|
100% |
758
1.01 KIPS |
|
|
Text Classification (HP)
|
100% |
781
1.04 KIPS |
|
|
Text Classification (Q)
|
97% |
421
564.5 IPS |
|
|
Machine Translation (SP)
|
100% |
364
6.27 IPS |
|
|
Machine Translation (HP)
|
96% |
351
6.07 IPS |
|
|
Machine Translation (Q)
|
70% |
249
4.67 IPS |
