LENOVO 21KV0015US
Geekbench AI Score
2803
Single Precision Score
1109
Half Precision Score
4596
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Jack4Maps |
| Upload Date | December 24 2024 08:11 PM |
| Views | 4 |
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% |
2372
441.1 IPS |
|
|
Image Classification (HP)
|
100% |
479
89.2 IPS |
|
|
Image Classification (Q)
|
99% |
4807
896.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1292
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
831
13.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2662
43.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4309
5.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
2359
2.75 IPS |
|
|
Pose Estimation (Q)
|
94% |
16047
18.8 IPS |
|
|
Object Detection (SP)
|
100% |
1956
155.2 IPS |
|
|
Object Detection (HP)
|
100% |
500
39.7 IPS |
|
|
Object Detection (Q)
|
86% |
3795
305.0 IPS |
|
|
Face Detection (SP)
|
100% |
5160
61.3 IPS |
|
|
Face Detection (HP)
|
100% |
1339
15.9 IPS |
|
|
Face Detection (Q)
|
97% |
7416
88.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5271
40.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1451
11.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
12349
98.5 IPS |
|
|
Style Transfer (SP)
|
100% |
10933
14.1 IPS |
|
|
Style Transfer (HP)
|
100% |
6039
7.76 IPS |
|
|
Style Transfer (Q)
|
98% |
16913
21.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1894
69.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1134
41.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3558
131.7 IPS |
|
|
Text Classification (SP)
|
100% |
1281
1.71 KIPS |
|
|
Text Classification (HP)
|
100% |
686
915.2 IPS |
|
|
Text Classification (Q)
|
97% |
517
692.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1612
27.8 IPS |
|
|
Machine Translation (HP)
|
100% |
659
11.3 IPS |
|
|
Machine Translation (Q)
|
65% |
1898
38.1 IPS |
