LENOVO 81SY
Geekbench AI Score
1285
Single Precision Score
1884
Half Precision Score
1764
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | TiggerTH |
| Upload Date | September 07 2024 02:44 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 630 (iGPU) |
| 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% |
805
149.6 IPS |
|
|
Image Classification (HP)
|
100% |
1260
234.3 IPS |
|
|
Image Classification (Q)
|
100% |
1150
213.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1043
16.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1677
27.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
1520
24.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1850
2.16 IPS |
|
|
Pose Estimation (HP)
|
99% |
1965
2.30 IPS |
|
|
Pose Estimation (Q)
|
97% |
2635
3.09 IPS |
|
|
Object Detection (SP)
|
100% |
754
59.8 IPS |
|
|
Object Detection (HP)
|
99% |
1245
99.0 IPS |
|
|
Object Detection (Q)
|
88% |
1170
93.8 IPS |
|
|
Face Detection (SP)
|
100% |
2408
28.6 IPS |
|
|
Face Detection (HP)
|
100% |
3948
46.9 IPS |
|
|
Face Detection (Q)
|
97% |
3443
41.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2297
17.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
3948
30.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
3589
27.9 IPS |
|
|
Style Transfer (SP)
|
100% |
5259
6.76 IPS |
|
|
Style Transfer (HP)
|
100% |
7208
9.27 IPS |
|
|
Style Transfer (Q)
|
98% |
6430
8.29 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
945
34.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1691
62.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1613
59.7 IPS |
|
|
Text Classification (SP)
|
71% |
584
845.4 IPS |
|
|
Text Classification (HP)
|
71% |
670
969.1 IPS |
|
|
Text Classification (Q)
|
92% |
494
663.8 IPS |
|
|
Machine Translation (SP)
|
100% |
656
11.3 IPS |
|
|
Machine Translation (HP)
|
97% |
859
14.9 IPS |
|
|
Machine Translation (Q)
|
98% |
857
14.8 IPS |
