Lenovo P14s G5 (2024) LENOVO 21G3S17800
Geekbench AI Score
3136
Single Precision Score
1308
Half Precision Score
6155
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 03 2025 08:25 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 7 165H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | LENOVO 21G3S17800 |
| Motherboard | LENOVO 21G3S17800 |
| Power Plan | Corporate Power Scheme (Balanced) |
| 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% |
2624
487.9 IPS |
|
|
Image Classification (HP)
|
100% |
492
91.5 IPS |
|
|
Image Classification (Q)
|
99% |
5116
954.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1237
20.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
918
14.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
7030
114.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5317
6.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
3555
4.15 IPS |
|
|
Pose Estimation (Q)
|
94% |
19430
22.8 IPS |
|
|
Object Detection (SP)
|
100% |
2301
182.5 IPS |
|
|
Object Detection (HP)
|
100% |
593
47.0 IPS |
|
|
Object Detection (Q)
|
86% |
5341
429.3 IPS |
|
|
Face Detection (SP)
|
100% |
5957
70.8 IPS |
|
|
Face Detection (HP)
|
100% |
1325
15.7 IPS |
|
|
Face Detection (Q)
|
97% |
7563
90.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6505
50.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1762
13.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
12998
103.7 IPS |
|
|
Style Transfer (SP)
|
100% |
12088
15.5 IPS |
|
|
Style Transfer (HP)
|
100% |
8401
10.8 IPS |
|
|
Style Transfer (Q)
|
98% |
15989
20.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2187
80.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1577
58.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4324
160.1 IPS |
|
|
Text Classification (SP)
|
100% |
1431
1.91 KIPS |
|
|
Text Classification (HP)
|
100% |
650
868.1 IPS |
|
|
Text Classification (Q)
|
97% |
1252
1.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
1581
27.2 IPS |
|
|
Machine Translation (HP)
|
100% |
768
13.2 IPS |
|
|
Machine Translation (Q)
|
65% |
2459
49.4 IPS |
