Lenovo P14s G5 (2024) LENOVO 21G3S17800
Geekbench AI Score
2610
Single Precision Score
2603
Half Precision Score
6195
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 03 2025 08:37 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) 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% |
1437
267.3 IPS |
|
|
Image Classification (HP)
|
100% |
1550
288.3 IPS |
|
|
Image Classification (Q)
|
100% |
4533
843.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2119
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2068
33.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4195
68.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3561
4.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
3783
4.41 IPS |
|
|
Pose Estimation (Q)
|
96% |
14185
16.6 IPS |
|
|
Object Detection (SP)
|
100% |
1501
119.1 IPS |
|
|
Object Detection (HP)
|
100% |
1478
117.3 IPS |
|
|
Object Detection (Q)
|
88% |
4265
341.9 IPS |
|
|
Face Detection (SP)
|
100% |
4194
49.8 IPS |
|
|
Face Detection (HP)
|
100% |
4183
49.7 IPS |
|
|
Face Detection (Q)
|
100% |
9312
110.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4249
32.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3943
30.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
9734
75.7 IPS |
|
|
Style Transfer (SP)
|
100% |
10183
13.1 IPS |
|
|
Style Transfer (HP)
|
100% |
10313
13.3 IPS |
|
|
Style Transfer (Q)
|
98% |
32229
41.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1831
67.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1860
68.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6505
240.9 IPS |
|
|
Text Classification (SP)
|
100% |
1670
2.23 KIPS |
|
|
Text Classification (HP)
|
100% |
1606
2.14 KIPS |
|
|
Text Classification (Q)
|
92% |
2892
3.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
1627
28.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1574
27.1 IPS |
|
|
Machine Translation (Q)
|
100% |
1317
22.7 IPS |
