LENOVO 21KV0018US
Geekbench AI Score
3495
Single Precision Score
1354
Half Precision Score
6058
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | zsamps |
| Upload Date | April 19 2025 11:23 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 7 165H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21KV0018US |
| Motherboard | LENOVO 21KV0018US |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 165H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2600
483.6 IPS |
|
|
Image Classification (HP)
|
100% |
495
92.1 IPS |
|
|
Image Classification (Q)
|
99% |
5421
1.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1392
22.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
858
13.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2917
47.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5813
6.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
3671
4.28 IPS |
|
|
Pose Estimation (Q)
|
94% |
20468
24.0 IPS |
|
|
Object Detection (SP)
|
100% |
2575
204.3 IPS |
|
|
Object Detection (HP)
|
100% |
615
48.8 IPS |
|
|
Object Detection (Q)
|
86% |
5526
444.1 IPS |
|
|
Face Detection (SP)
|
100% |
7214
85.7 IPS |
|
|
Face Detection (HP)
|
100% |
1427
17.0 IPS |
|
|
Face Detection (Q)
|
97% |
8213
97.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7469
57.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1952
15.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
13687
109.2 IPS |
|
|
Style Transfer (SP)
|
100% |
13901
17.9 IPS |
|
|
Style Transfer (HP)
|
100% |
9084
11.7 IPS |
|
|
Style Transfer (Q)
|
98% |
19694
25.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2547
94.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1799
66.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3756
139.1 IPS |
|
|
Text Classification (SP)
|
100% |
1408
1.88 KIPS |
|
|
Text Classification (HP)
|
100% |
680
907.5 IPS |
|
|
Text Classification (Q)
|
97% |
1569
2.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
1869
32.2 IPS |
|
|
Machine Translation (HP)
|
100% |
702
12.1 IPS |
|
|
Machine Translation (Q)
|
65% |
2853
57.3 IPS |
