LENOVO 21QVCTO1WW
Geekbench AI Score
11766
Single Precision Score
23687
Half Precision Score
9527
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 09 2025 04:21 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX PRO 500 Blackwell Generation Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21QVCTO1WW |
| Motherboard | LENOVO 21QVCTO1WW |
| Power Plan | Gebalanceerd |
| 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% |
4878
907.2 IPS |
|
|
Image Classification (HP)
|
100% |
10492
1.95 KIPS |
|
|
Image Classification (Q)
|
99% |
4510
841.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
8671
140.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
15282
247.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
7800
126.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
45614
53.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
158489
184.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
44436
52.0 IPS |
|
|
Object Detection (SP)
|
100% |
6278
498.0 IPS |
|
|
Object Detection (HP)
|
100% |
11853
940.2 IPS |
|
|
Object Detection (Q)
|
87% |
5696
457.1 IPS |
|
|
Face Detection (SP)
|
100% |
15073
179.1 IPS |
|
|
Face Detection (HP)
|
100% |
27767
329.9 IPS |
|
|
Face Detection (Q)
|
97% |
13700
163.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
28214
217.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
61846
476.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
23945
191.8 IPS |
|
|
Style Transfer (SP)
|
100% |
70513
90.6 IPS |
|
|
Style Transfer (HP)
|
100% |
263237
338.4 IPS |
|
|
Style Transfer (Q)
|
98% |
60901
78.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14842
548.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30159
1.11 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
12309
455.8 IPS |
|
|
Text Classification (SP)
|
100% |
2471
3.30 KIPS |
|
|
Text Classification (HP)
|
100% |
3422
4.57 KIPS |
|
|
Text Classification (Q)
|
97% |
1673
2.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
3820
65.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3958
68.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1683
31.6 IPS |
