LENOVO 21L2S09C01
Geekbench AI Score
2052
Single Precision Score
558
Half Precision Score
2915
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 10:42 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 21L2S09C01 |
| Motherboard | LENOVO 21L2S09C01 |
| 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% |
1325
246.3 IPS |
|
|
Image Classification (HP)
|
100% |
136
25.2 IPS |
|
|
Image Classification (Q)
|
99% |
2419
451.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
922
14.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
221
3.58 IPS |
|
|
Image Segmentation (Q)
|
98% |
1993
32.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3462
4.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
2293
2.68 IPS |
|
|
Pose Estimation (Q)
|
95% |
12656
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1336
106.0 IPS |
|
|
Object Detection (HP)
|
100% |
161
12.8 IPS |
|
|
Object Detection (Q)
|
88% |
1265
101.4 IPS |
|
|
Face Detection (SP)
|
100% |
2466
29.3 IPS |
|
|
Face Detection (HP)
|
100% |
245
2.91 IPS |
|
|
Face Detection (Q)
|
97% |
3316
39.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4216
32.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
674
5.19 IPS |
|
|
Depth Estimation (Q)
|
76% |
6334
51.0 IPS |
|
|
Style Transfer (SP)
|
100% |
8792
11.3 IPS |
|
|
Style Transfer (HP)
|
100% |
5673
7.29 IPS |
|
|
Style Transfer (Q)
|
98% |
13505
17.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1690
62.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1143
42.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2961
109.7 IPS |
|
|
Text Classification (SP)
|
100% |
1158
1.55 KIPS |
|
|
Text Classification (HP)
|
100% |
495
661.3 IPS |
|
|
Text Classification (Q)
|
97% |
427
572.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1311
22.6 IPS |
|
|
Machine Translation (HP)
|
100% |
502
8.65 IPS |
|
|
Machine Translation (Q)
|
60% |
1605
35.8 IPS |
