LENOVO 21QT000VFR
Geekbench AI Score
4698
Single Precision Score
3681
Half Precision Score
11041
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 29 2026 08:04 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (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% |
3124
580.9 IPS |
|
|
Image Classification (HP)
|
100% |
1326
246.6 IPS |
|
|
Image Classification (Q)
|
100% |
6973
1.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3620
58.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2132
34.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
7350
119.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6929
8.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
6920
8.07 IPS |
|
|
Pose Estimation (Q)
|
96% |
25593
30.0 IPS |
|
|
Object Detection (SP)
|
100% |
2420
192.0 IPS |
|
|
Object Detection (HP)
|
100% |
1728
137.0 IPS |
|
|
Object Detection (Q)
|
88% |
6989
560.2 IPS |
|
|
Face Detection (SP)
|
100% |
7372
87.6 IPS |
|
|
Face Detection (HP)
|
100% |
4546
54.0 IPS |
|
|
Face Detection (Q)
|
100% |
15489
184.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7210
55.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
5939
45.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
21306
165.6 IPS |
|
|
Style Transfer (SP)
|
100% |
19623
25.2 IPS |
|
|
Style Transfer (HP)
|
100% |
20150
25.9 IPS |
|
|
Style Transfer (Q)
|
98% |
66966
86.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3793
140.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4429
163.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12209
452.1 IPS |
|
|
Text Classification (SP)
|
100% |
3187
4.25 KIPS |
|
|
Text Classification (HP)
|
100% |
2321
3.10 KIPS |
|
|
Text Classification (Q)
|
92% |
4982
6.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
2193
37.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2416
41.6 IPS |
|
|
Machine Translation (Q)
|
100% |
2186
37.7 IPS |
