LENOVO 21QT0029US
Geekbench AI Score
4811
Single Precision Score
8983
Half Precision Score
14107
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | Patrick_ServeTheHome |
| Upload Date | March 14 2026 10:27 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21QT0029US |
| Motherboard | LENOVO 21QT0029US |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3857
717.3 IPS |
|
|
Image Classification (HP)
|
100% |
6563
1.22 KIPS |
|
|
Image Classification (Q)
|
100% |
9290
1.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4107
66.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2711
44.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3354
54.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6765
7.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
33120
38.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
71255
83.5 IPS |
|
|
Object Detection (SP)
|
100% |
2574
204.2 IPS |
|
|
Object Detection (HP)
|
100% |
5535
439.0 IPS |
|
|
Object Detection (Q)
|
88% |
9474
759.5 IPS |
|
|
Face Detection (SP)
|
100% |
5600
66.5 IPS |
|
|
Face Detection (HP)
|
100% |
15358
182.5 IPS |
|
|
Face Detection (Q)
|
100% |
29464
350.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6886
53.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
13416
103.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
25443
198.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16805
21.6 IPS |
|
|
Style Transfer (HP)
|
100% |
41506
53.4 IPS |
|
|
Style Transfer (Q)
|
98% |
77141
99.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3602
133.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15884
586.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
30911
1.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3112
4.15 KIPS |
|
|
Text Classification (HP)
|
100% |
1950
2.60 KIPS |
|
|
Text Classification (Q)
|
92% |
2045
2.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
3317
57.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3964
68.3 IPS |
|
|
Machine Translation (Q)
|
100% |
4061
70.0 IPS |
