LENOVO 10TX0010UK
Geekbench AI Score
2187
Single Precision Score
1017
Half Precision Score
2946
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | TAY-REMEMBERED |
| Upload Date | May 12 2025 12:42 PM |
| Views | 4 |
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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1855
345.0 IPS |
|
|
Image Classification (HP)
|
100% |
360
67.0 IPS |
|
|
Image Classification (Q)
|
96% |
2776
518.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
817
13.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
517
8.38 IPS |
|
|
Image Segmentation (Q)
|
97% |
1810
29.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3884
4.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
3395
3.96 IPS |
|
|
Pose Estimation (Q)
|
86% |
7389
8.73 IPS |
|
|
Object Detection (SP)
|
100% |
1716
136.1 IPS |
|
|
Object Detection (HP)
|
100% |
456
36.2 IPS |
|
|
Object Detection (Q)
|
58% |
1928
210.7 IPS |
|
|
Face Detection (SP)
|
100% |
2211
26.3 IPS |
|
|
Face Detection (HP)
|
100% |
859
10.2 IPS |
|
|
Face Detection (Q)
|
96% |
3962
47.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4178
32.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1403
10.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
6016
48.0 IPS |
|
|
Style Transfer (SP)
|
100% |
9382
12.1 IPS |
|
|
Style Transfer (HP)
|
100% |
7712
9.91 IPS |
|
|
Style Transfer (Q)
|
87% |
9387
12.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1649
60.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1457
53.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2015
74.7 IPS |
|
|
Text Classification (SP)
|
100% |
1220
1.63 KIPS |
|
|
Text Classification (HP)
|
100% |
599
799.3 IPS |
|
|
Text Classification (Q)
|
97% |
1049
1.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
1426
24.6 IPS |
|
|
Machine Translation (HP)
|
100% |
509
8.76 IPS |
|
|
Machine Translation (Q)
|
68% |
1458
28.2 IPS |
