LENOVO 21KYS31Q2A
Geekbench AI Score
4865
Single Precision Score
7637
Half Precision Score
3628
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | Emendiz77 |
| Upload Date | March 08 2026 08:00 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) Pro Graphics |
| 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% |
2567
477.5 IPS |
|
|
Image Classification (HP)
|
100% |
4502
837.3 IPS |
|
|
Image Classification (Q)
|
100% |
2220
412.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3142
50.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
7293
118.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2479
40.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
14053
16.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
21179
24.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
12861
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
2787
221.0 IPS |
|
|
Object Detection (HP)
|
99% |
5160
410.4 IPS |
|
|
Object Detection (Q)
|
86% |
2412
193.9 IPS |
|
|
Face Detection (SP)
|
100% |
4509
53.6 IPS |
|
|
Face Detection (HP)
|
100% |
8906
105.8 IPS |
|
|
Face Detection (Q)
|
97% |
3566
42.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
10739
82.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
21831
168.7 IPS |
|
|
Depth Estimation (Q)
|
76% |
8691
69.7 IPS |
|
|
Style Transfer (SP)
|
100% |
46116
59.3 IPS |
|
|
Style Transfer (HP)
|
100% |
75365
96.9 IPS |
|
|
Style Transfer (Q)
|
98% |
32009
41.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7600
280.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11571
427.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4315
159.8 IPS |
|
|
Text Classification (SP)
|
86% |
696
940.8 IPS |
|
|
Text Classification (HP)
|
99% |
602
803.5 IPS |
|
|
Text Classification (Q)
|
84% |
529
717.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1992
34.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1845
31.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1024
19.2 IPS |
