LENOVO 20TLA00NCD
Geekbench AI Score
1779
Single Precision Score
877
Half Precision Score
2778
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 11 2025 10:26 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-10750H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 20TLA00NCD |
| Motherboard | LENOVO 20TLA00NCD |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-10750H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 2 |
| Base Frequency | 2.59 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1279
237.9 IPS |
|
|
Image Classification (HP)
|
100% |
351
65.3 IPS |
|
|
Image Classification (Q)
|
96% |
2129
397.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
862
14.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
513
8.31 IPS |
|
|
Image Segmentation (Q)
|
97% |
2701
43.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2513
2.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
2047
2.39 IPS |
|
|
Pose Estimation (Q)
|
86% |
4921
5.82 IPS |
|
|
Object Detection (SP)
|
100% |
1259
99.8 IPS |
|
|
Object Detection (HP)
|
100% |
420
33.3 IPS |
|
|
Object Detection (Q)
|
58% |
1495
163.4 IPS |
|
|
Face Detection (SP)
|
100% |
2576
30.6 IPS |
|
|
Face Detection (HP)
|
100% |
917
10.9 IPS |
|
|
Face Detection (Q)
|
96% |
4189
50.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3298
25.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1218
9.38 IPS |
|
|
Depth Estimation (Q)
|
78% |
5291
42.2 IPS |
|
|
Style Transfer (SP)
|
100% |
6321
8.13 IPS |
|
|
Style Transfer (HP)
|
100% |
4836
6.22 IPS |
|
|
Style Transfer (Q)
|
87% |
8927
11.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1218
45.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1024
37.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2237
82.9 IPS |
|
|
Text Classification (SP)
|
100% |
1100
1.47 KIPS |
|
|
Text Classification (HP)
|
100% |
605
807.1 IPS |
|
|
Text Classification (Q)
|
97% |
919
1.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
1270
21.9 IPS |
|
|
Machine Translation (HP)
|
100% |
523
9.01 IPS |
|
|
Machine Translation (Q)
|
68% |
1593
30.8 IPS |
