LENOVO 21KDS13A01
Geekbench AI Score
2002
Single Precision Score
533
Half Precision Score
2746
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 12:49 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
250.4 IPS |
|
|
Image Classification (HP)
|
100% |
129
24.1 IPS |
|
|
Image Classification (Q)
|
99% |
2416
450.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1017
16.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
209
3.38 IPS |
|
|
Image Segmentation (Q)
|
98% |
1917
31.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3528
4.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
2266
2.64 IPS |
|
|
Pose Estimation (Q)
|
95% |
12593
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1373
108.9 IPS |
|
|
Object Detection (HP)
|
100% |
159
12.6 IPS |
|
|
Object Detection (Q)
|
88% |
1254
100.5 IPS |
|
|
Face Detection (SP)
|
100% |
2549
30.3 IPS |
|
|
Face Detection (HP)
|
100% |
239
2.84 IPS |
|
|
Face Detection (Q)
|
97% |
2879
34.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3946
30.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
670
5.16 IPS |
|
|
Depth Estimation (Q)
|
76% |
5740
46.2 IPS |
|
|
Style Transfer (SP)
|
100% |
7747
9.96 IPS |
|
|
Style Transfer (HP)
|
100% |
5370
6.90 IPS |
|
|
Style Transfer (Q)
|
98% |
13253
17.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1501
55.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1067
39.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2563
94.9 IPS |
|
|
Text Classification (SP)
|
100% |
1087
1.45 KIPS |
|
|
Text Classification (HP)
|
100% |
448
598.1 IPS |
|
|
Text Classification (Q)
|
97% |
418
560.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1228
21.1 IPS |
|
|
Machine Translation (HP)
|
100% |
465
8.00 IPS |
|
|
Machine Translation (Q)
|
60% |
1422
31.7 IPS |
