LENOVO 21KYS31Q2A
Geekbench AI Score
2478
Single Precision Score
2497
Half Precision Score
5987
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | Emendiz77 |
| Upload Date | March 08 2026 07:20 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 165H |
| 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% |
1294
240.6 IPS |
|
|
Image Classification (HP)
|
100% |
1332
247.7 IPS |
|
|
Image Classification (Q)
|
100% |
4172
775.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2144
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2207
35.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4423
71.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3361
3.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
3459
4.04 IPS |
|
|
Pose Estimation (Q)
|
96% |
12309
14.4 IPS |
|
|
Object Detection (SP)
|
100% |
1243
98.6 IPS |
|
|
Object Detection (HP)
|
100% |
1332
105.6 IPS |
|
|
Object Detection (Q)
|
88% |
3603
288.8 IPS |
|
|
Face Detection (SP)
|
100% |
4446
52.8 IPS |
|
|
Face Detection (HP)
|
100% |
4602
54.7 IPS |
|
|
Face Detection (Q)
|
100% |
8607
102.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3638
28.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3869
29.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
9784
76.1 IPS |
|
|
Style Transfer (SP)
|
100% |
9573
12.3 IPS |
|
|
Style Transfer (HP)
|
100% |
9212
11.8 IPS |
|
|
Style Transfer (Q)
|
98% |
31605
40.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1752
64.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1733
64.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5741
212.6 IPS |
|
|
Text Classification (SP)
|
100% |
1603
2.14 KIPS |
|
|
Text Classification (HP)
|
100% |
1718
2.29 KIPS |
|
|
Text Classification (Q)
|
92% |
3071
4.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
1737
29.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1426
24.6 IPS |
|
|
Machine Translation (Q)
|
100% |
1542
26.6 IPS |
