LENOVO 21KDS13A01
Geekbench AI Score
2075
Single Precision Score
541
Half Precision Score
2861
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | September 16 2024 10:56 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% |
1406
261.4 IPS |
|
|
Image Classification (HP)
|
100% |
130
24.1 IPS |
|
|
Image Classification (Q)
|
99% |
2497
465.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1010
16.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
213
3.45 IPS |
|
|
Image Segmentation (Q)
|
98% |
1940
31.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3580
4.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
2255
2.63 IPS |
|
|
Pose Estimation (Q)
|
95% |
12591
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1380
109.4 IPS |
|
|
Object Detection (HP)
|
100% |
155
12.3 IPS |
|
|
Object Detection (Q)
|
88% |
1217
97.5 IPS |
|
|
Face Detection (SP)
|
100% |
2445
29.0 IPS |
|
|
Face Detection (HP)
|
100% |
232
2.76 IPS |
|
|
Face Detection (Q)
|
97% |
3091
36.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3975
30.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
686
5.28 IPS |
|
|
Depth Estimation (Q)
|
76% |
6034
48.6 IPS |
|
|
Style Transfer (SP)
|
100% |
8132
10.5 IPS |
|
|
Style Transfer (HP)
|
100% |
5446
7.00 IPS |
|
|
Style Transfer (Q)
|
98% |
14054
18.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1584
58.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1099
40.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2842
105.2 IPS |
|
|
Text Classification (SP)
|
100% |
1271
1.70 KIPS |
|
|
Text Classification (HP)
|
100% |
477
636.1 IPS |
|
|
Text Classification (Q)
|
97% |
438
586.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1330
22.9 IPS |
|
|
Machine Translation (HP)
|
100% |
495
8.52 IPS |
|
|
Machine Translation (Q)
|
60% |
1520
33.9 IPS |
