LENOVO 81SY
Geekbench AI Score
1372
Single Precision Score
647
Half Precision Score
1983
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | riddhick14 |
| Upload Date | February 10 2025 08:32 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-9750H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | LENOVO 81SY |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-9750H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 2.59 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1104
205.4 IPS |
|
|
Image Classification (HP)
|
100% |
246
45.7 IPS |
|
|
Image Classification (Q)
|
96% |
1753
327.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
623
10.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
422
6.85 IPS |
|
|
Image Segmentation (Q)
|
97% |
1338
21.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2197
2.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
1697
1.98 IPS |
|
|
Pose Estimation (Q)
|
86% |
4071
4.81 IPS |
|
|
Object Detection (SP)
|
100% |
909
72.1 IPS |
|
|
Object Detection (HP)
|
100% |
315
25.0 IPS |
|
|
Object Detection (Q)
|
58% |
1234
134.9 IPS |
|
|
Face Detection (SP)
|
100% |
2038
24.2 IPS |
|
|
Face Detection (HP)
|
100% |
676
8.03 IPS |
|
|
Face Detection (Q)
|
96% |
3331
39.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2657
20.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
879
6.77 IPS |
|
|
Depth Estimation (Q)
|
78% |
3892
31.1 IPS |
|
|
Style Transfer (SP)
|
100% |
5110
6.57 IPS |
|
|
Style Transfer (HP)
|
100% |
3711
4.77 IPS |
|
|
Style Transfer (Q)
|
87% |
7040
9.16 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
970
35.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
708
26.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1133
42.0 IPS |
|
|
Text Classification (SP)
|
100% |
618
825.1 IPS |
|
|
Text Classification (HP)
|
100% |
413
551.1 IPS |
|
|
Text Classification (Q)
|
97% |
659
882.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1042
17.9 IPS |
|
|
Machine Translation (HP)
|
100% |
362
6.24 IPS |
|
|
Machine Translation (Q)
|
68% |
1175
22.7 IPS |
