LENOVO 21LTS06S01
Geekbench AI Score
2043
Single Precision Score
527
Half Precision Score
2808
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 10:22 AM |
| Views | 2 |
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% |
1383
257.2 IPS |
|
|
Image Classification (HP)
|
100% |
131
24.3 IPS |
|
|
Image Classification (Q)
|
99% |
2605
485.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
989
16.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
211
3.41 IPS |
|
|
Image Segmentation (Q)
|
98% |
1953
31.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3533
4.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
2276
2.66 IPS |
|
|
Pose Estimation (Q)
|
95% |
12339
14.5 IPS |
|
|
Object Detection (SP)
|
100% |
1298
102.9 IPS |
|
|
Object Detection (HP)
|
100% |
145
11.5 IPS |
|
|
Object Detection (Q)
|
88% |
1244
99.7 IPS |
|
|
Face Detection (SP)
|
100% |
2553
30.3 IPS |
|
|
Face Detection (HP)
|
100% |
223
2.65 IPS |
|
|
Face Detection (Q)
|
97% |
2963
35.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3950
30.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
654
5.04 IPS |
|
|
Depth Estimation (Q)
|
76% |
5714
46.0 IPS |
|
|
Style Transfer (SP)
|
100% |
8212
10.6 IPS |
|
|
Style Transfer (HP)
|
100% |
5586
7.18 IPS |
|
|
Style Transfer (Q)
|
98% |
13671
17.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1531
56.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1103
40.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2541
94.1 IPS |
|
|
Text Classification (SP)
|
100% |
1174
1.57 KIPS |
|
|
Text Classification (HP)
|
100% |
425
567.3 IPS |
|
|
Text Classification (Q)
|
97% |
426
570.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1358
23.4 IPS |
|
|
Machine Translation (HP)
|
100% |
482
8.31 IPS |
|
|
Machine Translation (Q)
|
60% |
1563
34.9 IPS |
