LENOVO 21KV0015US
Geekbench AI Score
2415
Single Precision Score
947
Half Precision Score
4854
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Jack4Maps |
| Upload Date | January 12 2025 10:28 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 7 155H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21KV0015US |
| Motherboard | LENOVO 21KV0015US |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155H |
| 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% |
1931
359.1 IPS |
|
|
Image Classification (HP)
|
100% |
446
82.9 IPS |
|
|
Image Classification (Q)
|
99% |
4821
899.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1078
17.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
720
11.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2901
47.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3889
4.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
2042
2.38 IPS |
|
|
Pose Estimation (Q)
|
94% |
14442
16.9 IPS |
|
|
Object Detection (SP)
|
100% |
1663
131.9 IPS |
|
|
Object Detection (HP)
|
100% |
435
34.5 IPS |
|
|
Object Detection (Q)
|
86% |
3685
296.2 IPS |
|
|
Face Detection (SP)
|
100% |
4786
56.9 IPS |
|
|
Face Detection (HP)
|
100% |
1131
13.4 IPS |
|
|
Face Detection (Q)
|
97% |
5770
68.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4757
36.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1333
10.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
9053
72.2 IPS |
|
|
Style Transfer (SP)
|
100% |
9474
12.2 IPS |
|
|
Style Transfer (HP)
|
100% |
5146
6.62 IPS |
|
|
Style Transfer (Q)
|
98% |
16135
20.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1909
70.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1014
37.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3429
127.0 IPS |
|
|
Text Classification (SP)
|
100% |
939
1.25 KIPS |
|
|
Text Classification (HP)
|
100% |
491
654.9 IPS |
|
|
Text Classification (Q)
|
97% |
1533
2.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
1298
22.4 IPS |
|
|
Machine Translation (HP)
|
100% |
532
9.17 IPS |
|
|
Machine Translation (Q)
|
65% |
2206
44.3 IPS |
