LENOVO 81LK
Geekbench AI Score
3400
Single Precision Score
3241
Half Precision Score
2497
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 15 2025 03:31 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1050 |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | LENOVO 81LK |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1385
257.6 IPS |
|
|
Image Classification (HP)
|
100% |
1242
230.9 IPS |
|
|
Image Classification (Q)
|
99% |
1040
194.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1823
29.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1974
32.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1525
24.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
12112
14.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
10557
12.3 IPS |
|
|
Pose Estimation (Q)
|
98% |
10782
12.6 IPS |
|
|
Object Detection (SP)
|
100% |
1585
125.8 IPS |
|
|
Object Detection (HP)
|
100% |
1648
130.8 IPS |
|
|
Object Detection (Q)
|
85% |
1462
117.6 IPS |
|
|
Face Detection (SP)
|
100% |
2792
33.2 IPS |
|
|
Face Detection (HP)
|
100% |
3306
39.3 IPS |
|
|
Face Detection (Q)
|
97% |
2402
28.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6510
50.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
6571
50.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
5265
42.1 IPS |
|
|
Style Transfer (SP)
|
100% |
27257
35.0 IPS |
|
|
Style Transfer (HP)
|
100% |
19301
24.8 IPS |
|
|
Style Transfer (Q)
|
98% |
22466
29.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4775
176.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4695
173.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3302
122.3 IPS |
|
|
Text Classification (SP)
|
100% |
1008
1.35 KIPS |
|
|
Text Classification (HP)
|
100% |
871
1.16 KIPS |
|
|
Text Classification (Q)
|
97% |
558
747.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1791
30.9 IPS |
|
|
Machine Translation (HP)
|
96% |
1749
30.2 IPS |
|
|
Machine Translation (Q)
|
70% |
721
13.5 IPS |
