LENOVO 21KDS13A01
Geekbench AI Score
2021
Single Precision Score
530
Half Precision Score
2823
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 10:43 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% |
1285
239.0 IPS |
|
|
Image Classification (HP)
|
100% |
128
23.9 IPS |
|
|
Image Classification (Q)
|
99% |
2446
456.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
978
15.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
202
3.27 IPS |
|
|
Image Segmentation (Q)
|
98% |
1884
30.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3486
4.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
2227
2.60 IPS |
|
|
Pose Estimation (Q)
|
95% |
12627
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1339
106.2 IPS |
|
|
Object Detection (HP)
|
100% |
156
12.4 IPS |
|
|
Object Detection (Q)
|
88% |
1254
100.5 IPS |
|
|
Face Detection (SP)
|
100% |
2516
29.9 IPS |
|
|
Face Detection (HP)
|
100% |
232
2.75 IPS |
|
|
Face Detection (Q)
|
97% |
2949
35.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3986
30.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
656
5.05 IPS |
|
|
Depth Estimation (Q)
|
76% |
6071
48.9 IPS |
|
|
Style Transfer (SP)
|
100% |
8029
10.3 IPS |
|
|
Style Transfer (HP)
|
100% |
5420
6.97 IPS |
|
|
Style Transfer (Q)
|
98% |
13628
17.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1529
56.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1085
40.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2803
103.8 IPS |
|
|
Text Classification (SP)
|
100% |
1227
1.64 KIPS |
|
|
Text Classification (HP)
|
100% |
454
606.0 IPS |
|
|
Text Classification (Q)
|
97% |
433
580.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1286
22.1 IPS |
|
|
Machine Translation (HP)
|
100% |
487
8.39 IPS |
|
|
Machine Translation (Q)
|
60% |
1490
33.2 IPS |
