LENOVO 21KYS31Q2A
Geekbench AI Score
11212
Single Precision Score
20296
Half Precision Score
8790
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | Emendiz77 |
| Upload Date | March 09 2026 12:38 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX 1000 Ada Generation Laptop GPU |
| 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% |
4311
801.6 IPS |
|
|
Image Classification (HP)
|
99% |
8888
1.66 KIPS |
|
|
Image Classification (Q)
|
99% |
4254
793.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
8256
133.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
13376
216.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
7797
126.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
44737
52.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
153737
179.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
38368
45.0 IPS |
|
|
Object Detection (SP)
|
100% |
5867
465.3 IPS |
|
|
Object Detection (HP)
|
100% |
10737
851.7 IPS |
|
|
Object Detection (Q)
|
84% |
4874
393.1 IPS |
|
|
Face Detection (SP)
|
100% |
13238
157.3 IPS |
|
|
Face Detection (HP)
|
100% |
24376
289.6 IPS |
|
|
Face Detection (Q)
|
97% |
11197
133.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
23414
180.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
54691
421.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
19861
158.9 IPS |
|
|
Style Transfer (SP)
|
100% |
100010
128.6 IPS |
|
|
Style Transfer (HP)
|
100% |
243940
313.6 IPS |
|
|
Style Transfer (Q)
|
98% |
84082
108.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17189
634.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29841
1.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
12745
471.9 IPS |
|
|
Text Classification (SP)
|
100% |
1951
2.60 KIPS |
|
|
Text Classification (HP)
|
100% |
2197
2.93 KIPS |
|
|
Text Classification (Q)
|
97% |
1272
1.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
3234
55.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2836
48.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1466
27.5 IPS |
