LENOVO 20TK0047US
Geekbench AI Score
5955
Single Precision Score
4899
Half Precision Score
4540
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | M_Ordinateur |
| Upload Date | May 03 2025 01:00 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1650 Ti with Max-Q Design |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 20TK0047US |
| Motherboard | LENOVO 20TK0047US |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2683
499.0 IPS |
|
|
Image Classification (HP)
|
100% |
2982
554.5 IPS |
|
|
Image Classification (Q)
|
99% |
2296
428.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3424
55.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3570
57.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2978
48.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
22382
26.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
14121
16.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
19907
23.3 IPS |
|
|
Object Detection (SP)
|
100% |
3260
258.6 IPS |
|
|
Object Detection (HP)
|
100% |
3332
264.3 IPS |
|
|
Object Detection (Q)
|
83% |
2769
223.7 IPS |
|
|
Face Detection (SP)
|
100% |
6979
82.9 IPS |
|
|
Face Detection (HP)
|
100% |
7594
90.2 IPS |
|
|
Face Detection (Q)
|
97% |
5884
70.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
13648
105.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
12869
99.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
10369
82.8 IPS |
|
|
Style Transfer (SP)
|
100% |
41024
52.7 IPS |
|
|
Style Transfer (HP)
|
100% |
27932
35.9 IPS |
|
|
Style Transfer (Q)
|
98% |
35460
45.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8454
312.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6663
246.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5875
217.5 IPS |
|
|
Text Classification (SP)
|
100% |
1176
1.57 KIPS |
|
|
Text Classification (HP)
|
100% |
401
535.6 IPS |
|
|
Text Classification (Q)
|
97% |
752
1.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
2157
37.2 IPS |
|
|
Machine Translation (HP)
|
98% |
2182
37.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1033
19.4 IPS |
