LENOVO 21KDS13A01
Geekbench AI Score
2002
Single Precision Score
543
Half Precision Score
2835
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 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% |
1392
258.9 IPS |
|
|
Image Classification (HP)
|
100% |
135
25.2 IPS |
|
|
Image Classification (Q)
|
99% |
2377
443.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
887
14.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
210
3.41 IPS |
|
|
Image Segmentation (Q)
|
98% |
1920
31.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3519
4.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
2288
2.67 IPS |
|
|
Pose Estimation (Q)
|
95% |
12792
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1334
105.9 IPS |
|
|
Object Detection (HP)
|
100% |
158
12.5 IPS |
|
|
Object Detection (Q)
|
88% |
1284
102.9 IPS |
|
|
Face Detection (SP)
|
100% |
2545
30.2 IPS |
|
|
Face Detection (HP)
|
100% |
241
2.86 IPS |
|
|
Face Detection (Q)
|
97% |
3152
37.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4025
31.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
671
5.17 IPS |
|
|
Depth Estimation (Q)
|
76% |
6016
48.5 IPS |
|
|
Style Transfer (SP)
|
100% |
8095
10.4 IPS |
|
|
Style Transfer (HP)
|
100% |
5536
7.12 IPS |
|
|
Style Transfer (Q)
|
98% |
14112
18.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1578
58.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1096
40.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2646
98.0 IPS |
|
|
Text Classification (SP)
|
100% |
1050
1.40 KIPS |
|
|
Text Classification (HP)
|
100% |
448
597.3 IPS |
|
|
Text Classification (Q)
|
97% |
404
540.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1301
22.4 IPS |
|
|
Machine Translation (HP)
|
100% |
497
8.56 IPS |
|
|
Machine Translation (Q)
|
60% |
1568
35.0 IPS |
