Lenovo P14s G5 (2024) LENOVO 21G3S17800
Geekbench AI Score
2770
Single Precision Score
7545
Half Precision Score
11920
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 03 2025 08:44 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| 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% |
1537
285.8 IPS |
|
|
Image Classification (HP)
|
100% |
5745
1.07 KIPS |
|
|
Image Classification (Q)
|
100% |
8427
1.57 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2203
35.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2437
39.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3356
54.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4384
5.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
29010
33.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
63245
74.1 IPS |
|
|
Object Detection (SP)
|
100% |
1565
124.2 IPS |
|
|
Object Detection (HP)
|
100% |
4705
373.2 IPS |
|
|
Object Detection (Q)
|
87% |
8295
665.7 IPS |
|
|
Face Detection (SP)
|
100% |
4611
54.8 IPS |
|
|
Face Detection (HP)
|
100% |
11216
133.3 IPS |
|
|
Face Detection (Q)
|
100% |
20707
246.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4394
33.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
11575
89.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
23126
179.9 IPS |
|
|
Style Transfer (SP)
|
100% |
10408
13.4 IPS |
|
|
Style Transfer (HP)
|
100% |
34806
44.7 IPS |
|
|
Style Transfer (Q)
|
98% |
66758
86.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1851
68.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11583
427.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19370
717.3 IPS |
|
|
Text Classification (SP)
|
100% |
1576
2.10 KIPS |
|
|
Text Classification (HP)
|
100% |
1778
2.37 KIPS |
|
|
Text Classification (Q)
|
92% |
1815
2.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
1865
32.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3366
58.0 IPS |
|
|
Machine Translation (Q)
|
100% |
3475
59.9 IPS |
