Lenovo P14s G5 (2024) LENOVO 21G3S17800
Geekbench AI Score
3713
Single Precision Score
6534
Half Precision Score
2653
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | slimg |
| Upload Date | July 03 2025 08:32 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Graphics |
| 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% |
2215
411.9 IPS |
|
|
Image Classification (HP)
|
100% |
4069
756.7 IPS |
|
|
Image Classification (Q)
|
100% |
1876
349.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1846
29.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
5283
85.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1514
24.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8994
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
15112
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
7534
8.83 IPS |
|
|
Object Detection (SP)
|
100% |
2193
174.0 IPS |
|
|
Object Detection (HP)
|
99% |
4780
380.3 IPS |
|
|
Object Detection (Q)
|
86% |
1842
148.1 IPS |
|
|
Face Detection (SP)
|
100% |
2747
32.6 IPS |
|
|
Face Detection (HP)
|
100% |
5595
66.5 IPS |
|
|
Face Detection (Q)
|
97% |
2094
25.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8178
63.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
18424
142.4 IPS |
|
|
Depth Estimation (Q)
|
76% |
6253
50.2 IPS |
|
|
Style Transfer (SP)
|
100% |
32611
41.9 IPS |
|
|
Style Transfer (HP)
|
100% |
62477
80.3 IPS |
|
|
Style Transfer (Q)
|
98% |
21461
27.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6173
227.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10752
397.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3313
122.7 IPS |
|
|
Text Classification (SP)
|
86% |
835
1.13 KIPS |
|
|
Text Classification (HP)
|
99% |
669
892.9 IPS |
|
|
Text Classification (Q)
|
84% |
610
827.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1639
28.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1972
34.0 IPS |
|
|
Machine Translation (Q)
|
70% |
774
14.5 IPS |
