LENOVO 21LTS06S01
Geekbench AI Score
2028
Single Precision Score
523
Half Precision Score
2758
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 10:32 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% |
1289
239.7 IPS |
|
|
Image Classification (HP)
|
100% |
135
25.1 IPS |
|
|
Image Classification (Q)
|
99% |
2384
444.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
932
15.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
207
3.35 IPS |
|
|
Image Segmentation (Q)
|
98% |
1917
31.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3594
4.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
2281
2.66 IPS |
|
|
Pose Estimation (Q)
|
95% |
12496
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1323
104.9 IPS |
|
|
Object Detection (HP)
|
100% |
150
11.9 IPS |
|
|
Object Detection (Q)
|
88% |
1193
95.6 IPS |
|
|
Face Detection (SP)
|
100% |
2479
29.5 IPS |
|
|
Face Detection (HP)
|
100% |
218
2.60 IPS |
|
|
Face Detection (Q)
|
97% |
2965
35.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3949
30.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
644
4.96 IPS |
|
|
Depth Estimation (Q)
|
76% |
5926
47.7 IPS |
|
|
Style Transfer (SP)
|
100% |
8057
10.4 IPS |
|
|
Style Transfer (HP)
|
100% |
5361
6.89 IPS |
|
|
Style Transfer (Q)
|
98% |
13816
17.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1559
57.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1068
39.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2595
96.1 IPS |
|
|
Text Classification (SP)
|
100% |
1298
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
426
568.9 IPS |
|
|
Text Classification (Q)
|
97% |
385
515.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1296
22.3 IPS |
|
|
Machine Translation (HP)
|
100% |
473
8.14 IPS |
|
|
Machine Translation (Q)
|
60% |
1543
34.4 IPS |
