LENOVO 81SY
Geekbench AI Score
1248
Single Precision Score
651
Half Precision Score
1404
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | TiggerTH |
| Upload Date | September 07 2024 02:32 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-9300H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 81SY |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-9300H |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
754
140.2 IPS |
|
|
Image Classification (HP)
|
100% |
251
46.6 IPS |
|
|
Image Classification (Q)
|
96% |
1208
225.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
634
10.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
424
6.87 IPS |
|
|
Image Segmentation (Q)
|
97% |
859
14.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1874
2.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
1553
1.81 IPS |
|
|
Pose Estimation (Q)
|
87% |
3407
4.02 IPS |
|
|
Object Detection (SP)
|
100% |
751
59.6 IPS |
|
|
Object Detection (HP)
|
100% |
309
24.5 IPS |
|
|
Object Detection (Q)
|
86% |
813
65.4 IPS |
|
|
Face Detection (SP)
|
100% |
1303
15.5 IPS |
|
|
Face Detection (HP)
|
100% |
703
8.35 IPS |
|
|
Face Detection (Q)
|
96% |
2013
24.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2232
17.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
924
7.12 IPS |
|
|
Depth Estimation (Q)
|
77% |
2234
17.9 IPS |
|
|
Style Transfer (SP)
|
100% |
4728
6.08 IPS |
|
|
Style Transfer (HP)
|
100% |
3638
4.68 IPS |
|
|
Style Transfer (Q)
|
87% |
6545
8.52 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
939
34.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
800
29.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1246
46.2 IPS |
|
|
Text Classification (SP)
|
100% |
943
1.26 KIPS |
|
|
Text Classification (HP)
|
100% |
384
512.2 IPS |
|
|
Text Classification (Q)
|
97% |
288
385.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1119
19.3 IPS |
|
|
Machine Translation (HP)
|
100% |
369
6.35 IPS |
|
|
Machine Translation (Q)
|
60% |
984
22.0 IPS |
