LENOVO 81LK
Geekbench AI Score
1799
Single Precision Score
1883
Half Precision Score
3157
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | skitou |
| Upload Date | November 14 2024 12:44 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-9300HF CPU @ 2.40GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | LENOVO 81LK |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Utilisation normale |
| CPU Information | |
|---|---|
| Name | Intel Core i5-9300HF |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 13 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1377
256.0 IPS |
|
|
Image Classification (HP)
|
100% |
1370
254.9 IPS |
|
|
Image Classification (Q)
|
100% |
2214
411.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
957
15.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1031
16.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
1955
31.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2623
3.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
2638
3.08 IPS |
|
|
Pose Estimation (Q)
|
94% |
5070
5.95 IPS |
|
|
Object Detection (SP)
|
100% |
1174
93.2 IPS |
|
|
Object Detection (HP)
|
100% |
1218
96.6 IPS |
|
|
Object Detection (Q)
|
87% |
2173
174.3 IPS |
|
|
Face Detection (SP)
|
100% |
1816
21.6 IPS |
|
|
Face Detection (HP)
|
100% |
1829
21.7 IPS |
|
|
Face Detection (Q)
|
97% |
5193
61.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3270
25.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3176
24.5 IPS |
|
|
Depth Estimation (Q)
|
81% |
5498
43.4 IPS |
|
|
Style Transfer (SP)
|
100% |
7709
9.91 IPS |
|
|
Style Transfer (HP)
|
100% |
7806
10.0 IPS |
|
|
Style Transfer (Q)
|
98% |
15182
19.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1483
54.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1454
53.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3107
115.1 IPS |
|
|
Text Classification (SP)
|
100% |
1462
1.95 KIPS |
|
|
Text Classification (HP)
|
100% |
1439
1.92 KIPS |
|
|
Text Classification (Q)
|
91% |
1229
1.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
883
15.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1306
22.5 IPS |
|
|
Machine Translation (Q)
|
100% |
1248
21.5 IPS |
