LENOVO 21KDS13A01
Geekbench AI Score
1992
Single Precision Score
524
Half Precision Score
2771
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 10:13 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% |
1346
250.4 IPS |
|
|
Image Classification (HP)
|
100% |
126
23.4 IPS |
|
|
Image Classification (Q)
|
99% |
2258
421.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
974
15.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
187
3.03 IPS |
|
|
Image Segmentation (Q)
|
98% |
1891
30.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3254
3.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
2217
2.59 IPS |
|
|
Pose Estimation (Q)
|
95% |
12368
14.5 IPS |
|
|
Object Detection (SP)
|
100% |
1358
107.7 IPS |
|
|
Object Detection (HP)
|
100% |
152
12.1 IPS |
|
|
Object Detection (Q)
|
88% |
1244
99.7 IPS |
|
|
Face Detection (SP)
|
100% |
2472
29.4 IPS |
|
|
Face Detection (HP)
|
100% |
233
2.77 IPS |
|
|
Face Detection (Q)
|
97% |
2966
35.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3894
30.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
657
5.06 IPS |
|
|
Depth Estimation (Q)
|
76% |
5938
47.8 IPS |
|
|
Style Transfer (SP)
|
100% |
8097
10.4 IPS |
|
|
Style Transfer (HP)
|
100% |
5428
6.98 IPS |
|
|
Style Transfer (Q)
|
98% |
13544
17.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1495
55.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1064
39.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2716
100.6 IPS |
|
|
Text Classification (SP)
|
100% |
1123
1.50 KIPS |
|
|
Text Classification (HP)
|
100% |
464
620.0 IPS |
|
|
Text Classification (Q)
|
97% |
436
584.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1298
22.4 IPS |
|
|
Machine Translation (HP)
|
100% |
483
8.32 IPS |
|
|
Machine Translation (Q)
|
60% |
1442
32.2 IPS |
