LENOVO 21QT000VFR
Geekbench AI Score
4810
Single Precision Score
7569
Half Precision Score
11408
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 29 2026 08:15 AM |
| Views | 3 |
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 21QT000VFR |
| Motherboard | LENOVO 21QT000VFR |
| Power Plan | Ausbalanciert |
| 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% |
3122
580.7 IPS |
|
|
Image Classification (HP)
|
100% |
5571
1.04 KIPS |
|
|
Image Classification (Q)
|
100% |
7687
1.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3721
60.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2370
38.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3010
48.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7551
8.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
32808
38.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
68617
80.4 IPS |
|
|
Object Detection (SP)
|
100% |
2441
193.6 IPS |
|
|
Object Detection (HP)
|
100% |
4611
365.7 IPS |
|
|
Object Detection (Q)
|
87% |
7471
599.6 IPS |
|
|
Face Detection (SP)
|
100% |
7422
88.2 IPS |
|
|
Face Detection (HP)
|
100% |
11229
133.4 IPS |
|
|
Face Detection (Q)
|
100% |
21559
256.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7248
55.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
12767
98.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
23283
181.2 IPS |
|
|
Style Transfer (SP)
|
100% |
19941
25.6 IPS |
|
|
Style Transfer (HP)
|
100% |
38740
49.8 IPS |
|
|
Style Transfer (Q)
|
98% |
70446
90.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3902
144.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11921
440.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19405
718.6 IPS |
|
|
Text Classification (SP)
|
100% |
2998
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
1942
2.59 KIPS |
|
|
Text Classification (Q)
|
92% |
1921
2.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
2472
42.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2405
41.4 IPS |
|
|
Machine Translation (Q)
|
100% |
2388
41.1 IPS |
