LENOVO 21KDS13A01
Geekbench AI Score
2018
Single Precision Score
533
Half Precision Score
2825
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 10:32 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% |
1370
254.7 IPS |
|
|
Image Classification (HP)
|
100% |
123
22.9 IPS |
|
|
Image Classification (Q)
|
99% |
2171
404.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
832
13.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
191
3.09 IPS |
|
|
Image Segmentation (Q)
|
98% |
1929
31.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3514
4.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
2259
2.64 IPS |
|
|
Pose Estimation (Q)
|
95% |
12703
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
1393
110.5 IPS |
|
|
Object Detection (HP)
|
100% |
156
12.4 IPS |
|
|
Object Detection (Q)
|
88% |
1344
107.7 IPS |
|
|
Face Detection (SP)
|
100% |
2507
29.8 IPS |
|
|
Face Detection (HP)
|
100% |
238
2.82 IPS |
|
|
Face Detection (Q)
|
97% |
3058
36.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4010
30.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
667
5.14 IPS |
|
|
Depth Estimation (Q)
|
76% |
5734
46.2 IPS |
|
|
Style Transfer (SP)
|
100% |
8139
10.5 IPS |
|
|
Style Transfer (HP)
|
100% |
5469
7.03 IPS |
|
|
Style Transfer (Q)
|
98% |
13814
17.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1567
57.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1094
40.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2714
100.5 IPS |
|
|
Text Classification (SP)
|
100% |
1182
1.58 KIPS |
|
|
Text Classification (HP)
|
100% |
472
630.0 IPS |
|
|
Text Classification (Q)
|
97% |
427
571.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1327
22.9 IPS |
|
|
Machine Translation (HP)
|
100% |
499
8.59 IPS |
|
|
Machine Translation (Q)
|
60% |
1614
36.0 IPS |
