LENOVO 21L4S1PV00
Geekbench AI Score
2362
Single Precision Score
2314
Half Precision Score
6244
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | hisyho |
| Upload Date | July 25 2025 01:03 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 165U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21L4S1PV00 |
| Motherboard | LENOVO 21L4S1PV00 |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 165U |
| Topology | 1 Processor, 12 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1359
252.8 IPS |
|
|
Image Classification (HP)
|
100% |
1424
264.8 IPS |
|
|
Image Classification (Q)
|
100% |
4191
779.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1937
31.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1899
30.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4242
68.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3008
3.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
2596
3.03 IPS |
|
|
Pose Estimation (Q)
|
96% |
11517
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
1305
103.5 IPS |
|
|
Object Detection (HP)
|
100% |
1310
103.9 IPS |
|
|
Object Detection (Q)
|
88% |
4374
350.6 IPS |
|
|
Face Detection (SP)
|
100% |
3592
42.7 IPS |
|
|
Face Detection (HP)
|
100% |
3363
40.0 IPS |
|
|
Face Detection (Q)
|
100% |
9070
107.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3570
27.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3881
29.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
9313
72.4 IPS |
|
|
Style Transfer (SP)
|
100% |
7936
10.2 IPS |
|
|
Style Transfer (HP)
|
100% |
8032
10.3 IPS |
|
|
Style Transfer (Q)
|
98% |
33381
43.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1794
66.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1650
60.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6493
240.5 IPS |
|
|
Text Classification (SP)
|
100% |
1536
2.05 KIPS |
|
|
Text Classification (HP)
|
100% |
1622
2.17 KIPS |
|
|
Text Classification (Q)
|
92% |
2794
3.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
1868
32.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1712
29.5 IPS |
|
|
Machine Translation (Q)
|
100% |
1968
33.9 IPS |
