LENOVO 21KDS13A01
Geekbench AI Score
2060
Single Precision Score
546
Half Precision Score
2822
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | September 16 2024 11:04 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% |
1407
261.6 IPS |
|
|
Image Classification (HP)
|
100% |
135
25.1 IPS |
|
|
Image Classification (Q)
|
99% |
2479
462.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
992
16.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
203
3.29 IPS |
|
|
Image Segmentation (Q)
|
98% |
1906
31.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3539
4.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
2278
2.66 IPS |
|
|
Pose Estimation (Q)
|
95% |
12777
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1406
111.5 IPS |
|
|
Object Detection (HP)
|
100% |
158
12.6 IPS |
|
|
Object Detection (Q)
|
88% |
1246
99.9 IPS |
|
|
Face Detection (SP)
|
100% |
2518
29.9 IPS |
|
|
Face Detection (HP)
|
100% |
245
2.91 IPS |
|
|
Face Detection (Q)
|
97% |
3170
37.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3997
30.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
673
5.19 IPS |
|
|
Depth Estimation (Q)
|
76% |
6003
48.4 IPS |
|
|
Style Transfer (SP)
|
100% |
8097
10.4 IPS |
|
|
Style Transfer (HP)
|
100% |
5421
6.97 IPS |
|
|
Style Transfer (Q)
|
98% |
13692
17.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1563
57.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1096
40.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2509
92.9 IPS |
|
|
Text Classification (SP)
|
100% |
1202
1.60 KIPS |
|
|
Text Classification (HP)
|
100% |
489
652.1 IPS |
|
|
Text Classification (Q)
|
97% |
429
574.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1296
22.3 IPS |
|
|
Machine Translation (HP)
|
100% |
500
8.61 IPS |
|
|
Machine Translation (Q)
|
60% |
1520
33.9 IPS |
