LENOVO 21KDS13A01
Geekbench AI Score
1977
Single Precision Score
522
Half Precision Score
2780
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | September 16 2024 11:44 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 21KDS13A01 |
| Motherboard | LENOVO 21KDS13A01 |
| 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% |
1286
239.2 IPS |
|
|
Image Classification (HP)
|
100% |
123
22.8 IPS |
|
|
Image Classification (Q)
|
99% |
2398
447.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1019
16.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
203
3.30 IPS |
|
|
Image Segmentation (Q)
|
98% |
1930
31.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3506
4.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
2194
2.56 IPS |
|
|
Pose Estimation (Q)
|
95% |
12811
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1331
105.6 IPS |
|
|
Object Detection (HP)
|
100% |
153
12.2 IPS |
|
|
Object Detection (Q)
|
88% |
1261
101.1 IPS |
|
|
Face Detection (SP)
|
100% |
2430
28.9 IPS |
|
|
Face Detection (HP)
|
100% |
228
2.71 IPS |
|
|
Face Detection (Q)
|
97% |
3131
37.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3930
30.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
658
5.07 IPS |
|
|
Depth Estimation (Q)
|
76% |
5706
46.0 IPS |
|
|
Style Transfer (SP)
|
100% |
7969
10.2 IPS |
|
|
Style Transfer (HP)
|
100% |
5394
6.93 IPS |
|
|
Style Transfer (Q)
|
98% |
11461
14.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1474
54.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1085
40.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2781
103.0 IPS |
|
|
Text Classification (SP)
|
100% |
1174
1.57 KIPS |
|
|
Text Classification (HP)
|
100% |
424
566.5 IPS |
|
|
Text Classification (Q)
|
97% |
398
533.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1138
19.6 IPS |
|
|
Machine Translation (HP)
|
100% |
482
8.30 IPS |
|
|
Machine Translation (Q)
|
60% |
1632
36.4 IPS |
