LENOVO 21LTS06S01
Geekbench AI Score
2036
Single Precision Score
526
Half Precision Score
2711
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 12:49 PM |
| 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% |
1410
262.3 IPS |
|
|
Image Classification (HP)
|
100% |
122
22.8 IPS |
|
|
Image Classification (Q)
|
99% |
2386
445.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
985
16.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
206
3.34 IPS |
|
|
Image Segmentation (Q)
|
98% |
1813
29.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3567
4.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
2267
2.64 IPS |
|
|
Pose Estimation (Q)
|
95% |
12439
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1344
106.6 IPS |
|
|
Object Detection (HP)
|
100% |
150
11.9 IPS |
|
|
Object Detection (Q)
|
88% |
1248
100.0 IPS |
|
|
Face Detection (SP)
|
100% |
2518
29.9 IPS |
|
|
Face Detection (HP)
|
100% |
226
2.69 IPS |
|
|
Face Detection (Q)
|
97% |
2811
33.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4070
31.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
645
4.97 IPS |
|
|
Depth Estimation (Q)
|
76% |
6037
48.6 IPS |
|
|
Style Transfer (SP)
|
100% |
8500
10.9 IPS |
|
|
Style Transfer (HP)
|
100% |
5680
7.30 IPS |
|
|
Style Transfer (Q)
|
98% |
13010
16.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1527
56.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1111
41.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2625
97.2 IPS |
|
|
Text Classification (SP)
|
100% |
1087
1.45 KIPS |
|
|
Text Classification (HP)
|
100% |
438
584.6 IPS |
|
|
Text Classification (Q)
|
97% |
394
527.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1274
21.9 IPS |
|
|
Machine Translation (HP)
|
100% |
477
8.22 IPS |
|
|
Machine Translation (Q)
|
60% |
1402
31.3 IPS |
