LENOVO 21QXZCP5US
Geekbench AI Score
3047
Single Precision Score
23426
Half Precision Score
36214
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 27 2025 09:51 AM |
| Views | 15 |
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 21QXZCP5US |
| Motherboard | LENOVO 21QXZCP5US |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 268V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1804
335.5 IPS |
|
|
Image Classification (HP)
|
100% |
11935
2.22 KIPS |
|
|
Image Classification (Q)
|
100% |
17184
3.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2086
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
16342
264.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
31999
518.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3327
3.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
103902
121.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
205736
241.0 IPS |
|
|
Object Detection (SP)
|
100% |
1749
138.7 IPS |
|
|
Object Detection (HP)
|
100% |
15958
1.27 KIPS |
|
|
Object Detection (Q)
|
87% |
22381
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
5296
62.9 IPS |
|
|
Face Detection (HP)
|
100% |
28449
338.0 IPS |
|
|
Face Detection (Q)
|
100% |
62259
739.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4582
35.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
68110
524.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
110609
860.8 IPS |
|
|
Style Transfer (SP)
|
100% |
9840
12.6 IPS |
|
|
Style Transfer (HP)
|
100% |
204801
263.3 IPS |
|
|
Style Transfer (Q)
|
98% |
310167
400.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2049
75.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32279
1.19 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
61032
2.26 KIPS |
|
|
Text Classification (SP)
|
100% |
2058
2.75 KIPS |
|
|
Text Classification (HP)
|
100% |
2767
3.69 KIPS |
|
|
Text Classification (Q)
|
92% |
2789
3.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
3133
54.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4344
74.8 IPS |
|
|
Machine Translation (Q)
|
100% |
4215
72.6 IPS |
