Lenovo ThinkPad P16s Gen 4 Intel LENOVO 21QV003FUS
Geekbench AI Score
4401
Single Precision Score
9650
Half Precision Score
14667
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | ridelisle |
| Upload Date | January 09 2026 02:12 PM |
| Views | 11 |
| Notes | Windows 11 power mode set to "Balanced". |
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 21QV003FUS |
| Motherboard | LENOVO 21QV003FUS |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2158
401.2 IPS |
|
|
Image Classification (HP)
|
100% |
6710
1.25 KIPS |
|
|
Image Classification (Q)
|
100% |
9264
1.72 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3497
56.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2776
45.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3546
57.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6773
7.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
34826
40.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
75060
87.9 IPS |
|
|
Object Detection (SP)
|
100% |
2124
168.5 IPS |
|
|
Object Detection (HP)
|
100% |
5924
469.9 IPS |
|
|
Object Detection (Q)
|
87% |
9598
770.3 IPS |
|
|
Face Detection (SP)
|
100% |
6624
78.7 IPS |
|
|
Face Detection (HP)
|
100% |
16792
199.5 IPS |
|
|
Face Detection (Q)
|
100% |
32472
385.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6553
50.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
18164
139.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
32408
252.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17719
22.8 IPS |
|
|
Style Transfer (HP)
|
100% |
53507
68.8 IPS |
|
|
Style Transfer (Q)
|
98% |
95878
123.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3055
112.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14106
520.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23196
859.0 IPS |
|
|
Text Classification (SP)
|
100% |
3161
4.22 KIPS |
|
|
Text Classification (HP)
|
100% |
1977
2.64 KIPS |
|
|
Text Classification (Q)
|
92% |
2066
2.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
3384
58.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4007
69.0 IPS |
|
|
Machine Translation (Q)
|
100% |
4028
69.4 IPS |
