Lenovo P1 Gen.7 - 165H CPU LENOVO 21KWS49V0G
Geekbench AI Score
1552
Single Precision Score
606
Half Precision Score
5165
Quantized Score
Geekbench AI 1.4.0 for Linux AVX2
Result Information
| User | agurenko |
| Upload Date | August 20 2025 11:43 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 7 165H |
| System Information | |
|---|---|
| Operating System | Fedora Linux 42 (KDE Plasma Desktop Edition) |
| Model | LENOVO 21KWS49V0G |
| Motherboard | LENOVO 21KWS49V0G |
| 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 | 4.70 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.23 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
734
136.6 IPS |
|
|
Image Classification (HP)
|
100% |
183
34.1 IPS |
|
|
Image Classification (Q)
|
97% |
3466
646.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
831
13.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
285
4.62 IPS |
|
|
Image Segmentation (Q)
|
99% |
2750
44.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1427
1.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
2502
2.92 IPS |
|
|
Pose Estimation (Q)
|
94% |
17907
21.0 IPS |
|
|
Object Detection (SP)
|
100% |
1107
87.8 IPS |
|
|
Object Detection (HP)
|
100% |
223
17.7 IPS |
|
|
Object Detection (Q)
|
86% |
3817
306.8 IPS |
|
|
Face Detection (SP)
|
100% |
2055
24.4 IPS |
|
|
Face Detection (HP)
|
100% |
234
2.79 IPS |
|
|
Face Detection (Q)
|
97% |
10653
127.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2893
22.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
677
5.21 IPS |
|
|
Depth Estimation (Q)
|
78% |
9973
79.6 IPS |
|
|
Style Transfer (SP)
|
100% |
6349
8.16 IPS |
|
|
Style Transfer (HP)
|
100% |
6828
8.78 IPS |
|
|
Style Transfer (Q)
|
98% |
19065
24.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1491
55.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1088
40.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3346
123.9 IPS |
|
|
Text Classification (SP)
|
100% |
1009
1.35 KIPS |
|
|
Text Classification (HP)
|
100% |
405
540.9 IPS |
|
|
Text Classification (Q)
|
97% |
1150
1.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
1484
25.6 IPS |
|
|
Machine Translation (HP)
|
100% |
484
8.33 IPS |
|
|
Machine Translation (Q)
|
65% |
2662
53.5 IPS |
