Lenovo P1 Gen.7 - 165H CPU LENOVO 21KWS49V0G
Geekbench AI Score
1786
Single Precision Score
1798
Half Precision Score
1248
Quantized Score
Geekbench AI 1.4.0 for Linux AVX2
Result Information
| User | agurenko |
| Upload Date | August 20 2025 11:54 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| 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% |
1216
226.2 IPS |
|
|
Image Classification (HP)
|
100% |
1286
239.2 IPS |
|
|
Image Classification (Q)
|
99% |
899
167.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1998
32.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2008
32.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
949
15.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2316
2.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
2346
2.74 IPS |
|
|
Pose Estimation (Q)
|
96% |
2728
3.20 IPS |
|
|
Object Detection (SP)
|
100% |
1296
102.8 IPS |
|
|
Object Detection (HP)
|
100% |
1314
104.2 IPS |
|
|
Object Detection (Q)
|
85% |
912
73.4 IPS |
|
|
Face Detection (SP)
|
100% |
2656
31.6 IPS |
|
|
Face Detection (HP)
|
100% |
2657
31.6 IPS |
|
|
Face Detection (Q)
|
97% |
2050
24.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2226
17.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2228
17.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
1720
16.1 IPS |
|
|
Style Transfer (SP)
|
100% |
3247
4.17 IPS |
|
|
Style Transfer (HP)
|
100% |
3265
4.20 IPS |
|
|
Style Transfer (Q)
|
98% |
5001
6.45 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1699
62.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1672
61.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1255
46.5 IPS |
|
|
Text Classification (SP)
|
100% |
824
1.10 KIPS |
|
|
Text Classification (HP)
|
100% |
716
955.5 IPS |
|
|
Text Classification (Q)
|
92% |
472
634.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1688
29.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1918
33.0 IPS |
|
|
Machine Translation (Q)
|
58% |
416
9.77 IPS |
