LENOVO 21LTS06S01
Geekbench AI Score
2003
Single Precision Score
526
Half Precision Score
2752
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 10:13 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 165U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | LENOVO 21LTS06S01 |
| Motherboard | LENOVO 21LTS06S01 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 165U |
| Topology | 1 Processor, 12 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1322
245.9 IPS |
|
|
Image Classification (HP)
|
100% |
132
24.5 IPS |
|
|
Image Classification (Q)
|
99% |
2479
462.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
943
15.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
202
3.27 IPS |
|
|
Image Segmentation (Q)
|
98% |
1863
30.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3457
4.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
2244
2.62 IPS |
|
|
Pose Estimation (Q)
|
95% |
12276
14.4 IPS |
|
|
Object Detection (SP)
|
100% |
1342
106.4 IPS |
|
|
Object Detection (HP)
|
100% |
144
11.4 IPS |
|
|
Object Detection (Q)
|
88% |
1200
96.2 IPS |
|
|
Face Detection (SP)
|
100% |
2462
29.3 IPS |
|
|
Face Detection (HP)
|
100% |
221
2.62 IPS |
|
|
Face Detection (Q)
|
97% |
3002
35.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3872
29.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
688
5.30 IPS |
|
|
Depth Estimation (Q)
|
76% |
5843
47.1 IPS |
|
|
Style Transfer (SP)
|
100% |
8145
10.5 IPS |
|
|
Style Transfer (HP)
|
100% |
5561
7.15 IPS |
|
|
Style Transfer (Q)
|
98% |
13649
17.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1608
59.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1112
41.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2894
107.2 IPS |
|
|
Text Classification (SP)
|
100% |
1141
1.52 KIPS |
|
|
Text Classification (HP)
|
100% |
438
584.2 IPS |
|
|
Text Classification (Q)
|
97% |
374
501.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1262
21.7 IPS |
|
|
Machine Translation (HP)
|
100% |
458
7.90 IPS |
|
|
Machine Translation (Q)
|
60% |
1416
31.6 IPS |
