LENOVO 21L2S09C01
Geekbench AI Score
2084
Single Precision Score
553
Half Precision Score
3005
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 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% |
1380
256.6 IPS |
|
|
Image Classification (HP)
|
100% |
133
24.6 IPS |
|
|
Image Classification (Q)
|
99% |
2597
484.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
984
16.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
219
3.55 IPS |
|
|
Image Segmentation (Q)
|
98% |
2022
32.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3557
4.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
2321
2.71 IPS |
|
|
Pose Estimation (Q)
|
95% |
13436
15.7 IPS |
|
|
Object Detection (SP)
|
100% |
1366
108.3 IPS |
|
|
Object Detection (HP)
|
100% |
157
12.5 IPS |
|
|
Object Detection (Q)
|
88% |
1479
118.6 IPS |
|
|
Face Detection (SP)
|
100% |
2396
28.5 IPS |
|
|
Face Detection (HP)
|
100% |
239
2.84 IPS |
|
|
Face Detection (Q)
|
97% |
3084
36.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4286
33.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
700
5.40 IPS |
|
|
Depth Estimation (Q)
|
76% |
6091
49.1 IPS |
|
|
Style Transfer (SP)
|
100% |
8989
11.6 IPS |
|
|
Style Transfer (HP)
|
100% |
5722
7.36 IPS |
|
|
Style Transfer (Q)
|
98% |
14033
18.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1643
60.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1092
40.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2865
106.1 IPS |
|
|
Text Classification (SP)
|
100% |
1199
1.60 KIPS |
|
|
Text Classification (HP)
|
100% |
482
643.7 IPS |
|
|
Text Classification (Q)
|
97% |
475
635.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1294
22.3 IPS |
|
|
Machine Translation (HP)
|
100% |
505
8.70 IPS |
|
|
Machine Translation (Q)
|
60% |
1604
35.8 IPS |
