LENOVO 81Y4
Geekbench AI Score
6300
Single Precision Score
4834
Half Precision Score
4679
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | WitzAbout |
| Upload Date | August 05 2025 08:53 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1650 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 81Y4 |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-10300H |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2494
463.8 IPS |
|
|
Image Classification (HP)
|
100% |
1947
362.0 IPS |
|
|
Image Classification (Q)
|
99% |
2002
373.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4258
69.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3572
57.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3578
58.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
24176
28.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
15590
18.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
21417
25.1 IPS |
|
|
Object Detection (SP)
|
100% |
3026
240.0 IPS |
|
|
Object Detection (HP)
|
100% |
2867
227.4 IPS |
|
|
Object Detection (Q)
|
83% |
2582
208.6 IPS |
|
|
Face Detection (SP)
|
100% |
7521
89.4 IPS |
|
|
Face Detection (HP)
|
100% |
5985
71.1 IPS |
|
|
Face Detection (Q)
|
97% |
6347
75.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
14942
115.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
11146
85.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
11287
90.1 IPS |
|
|
Style Transfer (SP)
|
100% |
43678
56.1 IPS |
|
|
Style Transfer (HP)
|
100% |
29769
38.3 IPS |
|
|
Style Transfer (Q)
|
98% |
37972
49.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8777
324.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6529
241.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6118
226.5 IPS |
|
|
Text Classification (SP)
|
100% |
1383
1.85 KIPS |
|
|
Text Classification (HP)
|
100% |
809
1.08 KIPS |
|
|
Text Classification (Q)
|
97% |
778
1.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
2128
36.7 IPS |
|
|
Machine Translation (HP)
|
98% |
2141
37.0 IPS |
|
|
Machine Translation (Q)
|
70% |
982
18.4 IPS |
