LENOVO 21KYS31Q2A
Geekbench AI Score
7440
Single Precision Score
11885
Half Precision Score
17306
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | Emendiz77 |
| Upload Date | March 08 2026 07:28 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Pro Graphics (iGPU) |
| 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% |
6120
1.14 KIPS |
|
|
Image Classification (HP)
|
100% |
9470
1.76 KIPS |
|
|
Image Classification (Q)
|
100% |
11407
2.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4639
75.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
11967
194.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
17744
287.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
22662
26.4 IPS |
|
|
Pose Estimation (HP)
|
99% |
23575
27.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
79630
93.2 IPS |
|
|
Object Detection (SP)
|
100% |
5283
419.0 IPS |
|
|
Object Detection (HP)
|
100% |
9240
732.9 IPS |
|
|
Object Detection (Q)
|
88% |
13752
1.10 KIPS |
|
|
Face Detection (SP)
|
100% |
8144
96.8 IPS |
|
|
Face Detection (HP)
|
100% |
15898
188.9 IPS |
|
|
Face Detection (Q)
|
100% |
27512
326.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
19408
149.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
32937
254.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
40040
311.2 IPS |
|
|
Style Transfer (SP)
|
100% |
54152
69.6 IPS |
|
|
Style Transfer (HP)
|
100% |
70807
91.0 IPS |
|
|
Style Transfer (Q)
|
98% |
179888
232.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9402
347.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14590
538.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21983
814.1 IPS |
|
|
Text Classification (SP)
|
71% |
1230
1.78 KIPS |
|
|
Text Classification (HP)
|
71% |
2205
3.19 KIPS |
|
|
Text Classification (Q)
|
92% |
1304
1.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
1545
26.6 IPS |
|
|
Machine Translation (HP)
|
98% |
1911
33.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1915
33.1 IPS |
