LENOVO 21QT000VFR
Geekbench AI Score
10114
Single Precision Score
20888
Half Precision Score
8361
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 29 2026 08:18 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX PRO 500 Blackwell Generation Laptop GPU |
| 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% |
4420
822.0 IPS |
|
|
Image Classification (HP)
|
100% |
9830
1.83 KIPS |
|
|
Image Classification (Q)
|
99% |
4090
762.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
6423
104.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
10786
174.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
6040
98.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
36954
43.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
136678
159.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
38413
45.0 IPS |
|
|
Object Detection (SP)
|
100% |
5367
425.7 IPS |
|
|
Object Detection (HP)
|
100% |
11234
891.1 IPS |
|
|
Object Detection (Q)
|
87% |
5006
401.7 IPS |
|
|
Face Detection (SP)
|
100% |
12370
147.0 IPS |
|
|
Face Detection (HP)
|
100% |
23543
279.7 IPS |
|
|
Face Detection (Q)
|
97% |
11183
133.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
25429
195.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
57825
445.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
21354
171.1 IPS |
|
|
Style Transfer (SP)
|
100% |
62349
80.2 IPS |
|
|
Style Transfer (HP)
|
100% |
243411
312.9 IPS |
|
|
Style Transfer (Q)
|
98% |
54510
70.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13602
502.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27859
1.03 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
10899
403.6 IPS |
|
|
Text Classification (SP)
|
100% |
2376
3.17 KIPS |
|
|
Text Classification (HP)
|
100% |
3135
4.18 KIPS |
|
|
Text Classification (Q)
|
97% |
1623
2.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
3140
54.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3356
57.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1527
28.6 IPS |
