LENOVO 10TX0010UK
Geekbench AI Score
1301
Single Precision Score
1287
Half Precision Score
1042
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | TAY-REMEMBERED |
| Upload Date | November 30 2025 05:58 PM |
| Views | 11 |
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% |
539
100.2 IPS |
|
|
Image Classification (HP)
|
100% |
522
97.1 IPS |
|
|
Image Classification (Q)
|
99% |
474
88.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
600
9.73 IPS |
|
|
Image Segmentation (HP)
|
100% |
590
9.56 IPS |
|
|
Image Segmentation (Q)
|
98% |
520
8.46 IPS |
|
|
Pose Estimation (SP)
|
100% |
5337
6.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
4985
5.82 IPS |
|
|
Pose Estimation (Q)
|
96% |
4710
5.52 IPS |
|
|
Object Detection (SP)
|
100% |
626
49.7 IPS |
|
|
Object Detection (HP)
|
100% |
618
49.0 IPS |
|
|
Object Detection (Q)
|
83% |
542
43.8 IPS |
|
|
Face Detection (SP)
|
100% |
1108
13.2 IPS |
|
|
Face Detection (HP)
|
100% |
1114
13.2 IPS |
|
|
Face Detection (Q)
|
97% |
940
11.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2801
21.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2701
20.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
2282
18.3 IPS |
|
|
Style Transfer (SP)
|
100% |
8364
10.8 IPS |
|
|
Style Transfer (HP)
|
100% |
8244
10.6 IPS |
|
|
Style Transfer (Q)
|
98% |
7325
9.45 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2396
88.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2238
82.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1637
60.6 IPS |
|
|
Text Classification (SP)
|
100% |
566
755.2 IPS |
|
|
Text Classification (HP)
|
100% |
664
885.8 IPS |
|
|
Text Classification (Q)
|
97% |
373
499.4 IPS |
|
|
Machine Translation (SP)
|
100% |
366
6.31 IPS |
|
|
Machine Translation (HP)
|
96% |
359
6.21 IPS |
|
|
Machine Translation (Q)
|
70% |
251
4.70 IPS |
