LENOVO 21QV004NUS
Geekbench AI Score
13479
Single Precision Score
28444
Half Precision Score
10962
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 05 2026 10:00 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX PRO 1000 Blackwell Generation Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21QV004NUS |
| Motherboard | LENOVO 21QV004NUS |
| Power Plan | Balanced |
| 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 | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5652
1.05 KIPS |
|
|
Image Classification (HP)
|
100% |
12214
2.27 KIPS |
|
|
Image Classification (Q)
|
99% |
5585
1.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10142
164.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
19162
310.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
10134
164.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
53371
62.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
186522
217.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
51781
60.7 IPS |
|
|
Object Detection (SP)
|
100% |
7250
575.1 IPS |
|
|
Object Detection (HP)
|
100% |
15511
1.23 KIPS |
|
|
Object Detection (Q)
|
87% |
6489
520.8 IPS |
|
|
Face Detection (SP)
|
100% |
17800
211.5 IPS |
|
|
Face Detection (HP)
|
100% |
33440
397.3 IPS |
|
|
Face Detection (Q)
|
97% |
15850
189.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
29003
223.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
74105
570.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
26100
208.7 IPS |
|
|
Style Transfer (SP)
|
100% |
86422
111.1 IPS |
|
|
Style Transfer (HP)
|
100% |
320690
412.3 IPS |
|
|
Style Transfer (Q)
|
98% |
70580
91.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17988
664.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
36877
1.36 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
14429
534.3 IPS |
|
|
Text Classification (SP)
|
100% |
2524
3.37 KIPS |
|
|
Text Classification (HP)
|
100% |
3564
4.76 KIPS |
|
|
Text Classification (Q)
|
97% |
1750
2.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
4407
75.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4902
84.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1787
33.5 IPS |
