LENOVO 21QVCTO1WW
Geekbench AI Score
4484
Single Precision Score
1835
Half Precision Score
8077
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 09 2025 04:17 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265H |
| 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% |
3740
695.5 IPS |
|
|
Image Classification (HP)
|
100% |
677
125.8 IPS |
|
|
Image Classification (Q)
|
99% |
6283
1.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1824
29.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1072
17.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
10186
165.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8018
9.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
5436
6.34 IPS |
|
|
Pose Estimation (Q)
|
94% |
27742
32.5 IPS |
|
|
Object Detection (SP)
|
100% |
3112
246.8 IPS |
|
|
Object Detection (HP)
|
100% |
850
67.4 IPS |
|
|
Object Detection (Q)
|
86% |
7620
612.4 IPS |
|
|
Face Detection (SP)
|
100% |
7957
94.5 IPS |
|
|
Face Detection (HP)
|
100% |
1834
21.8 IPS |
|
|
Face Detection (Q)
|
97% |
10231
122.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9700
74.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2565
19.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
17153
136.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18412
23.7 IPS |
|
|
Style Transfer (HP)
|
100% |
12740
16.4 IPS |
|
|
Style Transfer (Q)
|
98% |
20287
26.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3300
121.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2285
84.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4795
177.5 IPS |
|
|
Text Classification (SP)
|
100% |
1722
2.30 KIPS |
|
|
Text Classification (HP)
|
100% |
843
1.13 KIPS |
|
|
Text Classification (Q)
|
97% |
1419
1.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
2391
41.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1119
19.3 IPS |
|
|
Machine Translation (Q)
|
65% |
3606
72.5 IPS |
