LENOVO 21KDS13A01
Geekbench AI Score
1997
Single Precision Score
532
Half Precision Score
2762
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 12:40 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% |
1363
253.5 IPS |
|
|
Image Classification (HP)
|
100% |
130
24.1 IPS |
|
|
Image Classification (Q)
|
99% |
2281
425.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1045
16.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
211
3.42 IPS |
|
|
Image Segmentation (Q)
|
98% |
1948
31.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3540
4.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
2269
2.65 IPS |
|
|
Pose Estimation (Q)
|
95% |
12648
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1357
107.7 IPS |
|
|
Object Detection (HP)
|
100% |
160
12.7 IPS |
|
|
Object Detection (Q)
|
88% |
1243
99.6 IPS |
|
|
Face Detection (SP)
|
100% |
2496
29.7 IPS |
|
|
Face Detection (HP)
|
100% |
237
2.82 IPS |
|
|
Face Detection (Q)
|
97% |
2925
34.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3951
30.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
676
5.21 IPS |
|
|
Depth Estimation (Q)
|
76% |
5982
48.2 IPS |
|
|
Style Transfer (SP)
|
100% |
8091
10.4 IPS |
|
|
Style Transfer (HP)
|
100% |
5498
7.07 IPS |
|
|
Style Transfer (Q)
|
98% |
13757
17.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1508
55.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1088
40.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2625
97.2 IPS |
|
|
Text Classification (SP)
|
100% |
1065
1.42 KIPS |
|
|
Text Classification (HP)
|
100% |
435
580.7 IPS |
|
|
Text Classification (Q)
|
97% |
389
520.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1152
19.8 IPS |
|
|
Machine Translation (HP)
|
100% |
445
7.66 IPS |
|
|
Machine Translation (Q)
|
60% |
1509
33.7 IPS |
