LENOVO 21KDS13A01
Geekbench AI Score
2050
Single Precision Score
537
Half Precision Score
2808
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 12:58 PM |
| 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% |
1347
250.6 IPS |
|
|
Image Classification (HP)
|
100% |
131
24.3 IPS |
|
|
Image Classification (Q)
|
99% |
2477
462.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1040
16.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
210
3.40 IPS |
|
|
Image Segmentation (Q)
|
98% |
1894
30.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3524
4.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
2282
2.66 IPS |
|
|
Pose Estimation (Q)
|
95% |
12685
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
1359
107.8 IPS |
|
|
Object Detection (HP)
|
100% |
154
12.2 IPS |
|
|
Object Detection (Q)
|
88% |
1257
100.7 IPS |
|
|
Face Detection (SP)
|
100% |
2557
30.4 IPS |
|
|
Face Detection (HP)
|
100% |
235
2.80 IPS |
|
|
Face Detection (Q)
|
97% |
2912
34.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3953
30.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
665
5.12 IPS |
|
|
Depth Estimation (Q)
|
76% |
5969
48.1 IPS |
|
|
Style Transfer (SP)
|
100% |
8058
10.4 IPS |
|
|
Style Transfer (HP)
|
100% |
5509
7.08 IPS |
|
|
Style Transfer (Q)
|
98% |
13480
17.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1544
57.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1109
41.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2695
99.8 IPS |
|
|
Text Classification (SP)
|
100% |
1162
1.55 KIPS |
|
|
Text Classification (HP)
|
100% |
464
619.7 IPS |
|
|
Text Classification (Q)
|
97% |
442
591.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1342
23.1 IPS |
|
|
Machine Translation (HP)
|
100% |
470
8.09 IPS |
|
|
Machine Translation (Q)
|
60% |
1464
32.7 IPS |
