LENOVO 21KYS31Q2A
Geekbench AI Score
1949
Single Precision Score
8905
Half Precision Score
13602
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | Emendiz77 |
| Upload Date | March 08 2026 07:15 PM |
| Views | 9 |
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 21KYS31Q2A |
| Motherboard | LENOVO 21KYS31Q2A |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 165H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1277
237.5 IPS |
|
|
Image Classification (HP)
|
100% |
6381
1.19 KIPS |
|
|
Image Classification (Q)
|
100% |
8089
1.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1160
18.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2504
40.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2962
48.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3623
4.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
29539
34.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
65889
77.2 IPS |
|
|
Object Detection (SP)
|
100% |
1363
108.1 IPS |
|
|
Object Detection (HP)
|
100% |
5477
434.4 IPS |
|
|
Object Detection (Q)
|
88% |
9245
741.2 IPS |
|
|
Face Detection (SP)
|
100% |
4695
55.8 IPS |
|
|
Face Detection (HP)
|
100% |
16275
193.4 IPS |
|
|
Face Detection (Q)
|
100% |
29095
345.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4069
31.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
16918
130.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
31534
245.4 IPS |
|
|
Style Transfer (SP)
|
100% |
10252
13.2 IPS |
|
|
Style Transfer (HP)
|
100% |
48958
62.9 IPS |
|
|
Style Transfer (Q)
|
98% |
88893
114.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1838
67.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14214
524.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27665
1.02 KIPS |
|
|
Text Classification (SP)
|
100% |
404
539.3 IPS |
|
|
Text Classification (HP)
|
100% |
1661
2.22 KIPS |
|
|
Text Classification (Q)
|
92% |
1694
2.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
744
12.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3814
65.7 IPS |
|
|
Machine Translation (Q)
|
100% |
3887
67.0 IPS |
