LENOVO 21QV002GUS
Geekbench AI Score
5169
Single Precision Score
9289
Half Precision Score
14181
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 04 2025 08:45 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21QV002GUS |
| Motherboard | LENOVO 21QV002GUS |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 255H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3625
674.1 IPS |
|
|
Image Classification (HP)
|
100% |
6783
1.26 KIPS |
|
|
Image Classification (Q)
|
100% |
9509
1.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3969
64.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2717
44.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3481
56.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7533
8.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
34370
40.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
73676
86.3 IPS |
|
|
Object Detection (SP)
|
100% |
2626
208.3 IPS |
|
|
Object Detection (HP)
|
100% |
5808
460.7 IPS |
|
|
Object Detection (Q)
|
87% |
9491
761.7 IPS |
|
|
Face Detection (SP)
|
100% |
8096
96.2 IPS |
|
|
Face Detection (HP)
|
100% |
16012
190.3 IPS |
|
|
Face Detection (Q)
|
100% |
31661
376.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7320
56.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
16450
126.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
30752
239.3 IPS |
|
|
Style Transfer (SP)
|
100% |
19938
25.6 IPS |
|
|
Style Transfer (HP)
|
100% |
49790
64.0 IPS |
|
|
Style Transfer (Q)
|
98% |
88034
113.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3962
146.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13738
507.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23068
854.3 IPS |
|
|
Text Classification (SP)
|
100% |
3006
4.01 KIPS |
|
|
Text Classification (HP)
|
100% |
1908
2.55 KIPS |
|
|
Text Classification (Q)
|
92% |
1878
2.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
3405
58.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3784
65.2 IPS |
|
|
Machine Translation (Q)
|
100% |
3828
65.9 IPS |
