LENOVO 20EF000MUS
Geekbench AI Score
598
Single Precision Score
583
Half Precision Score
395
Quantized Score
Geekbench AI 1.6.0 for Linux AVX2
Result Information
| User | william_rawlings_iii |
| Upload Date | December 31 2025 03:50 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i7-4810MQ |
| System Information | |
|---|---|
| Operating System | Kali GNU/Linux Rolling |
| Model | LENOVO 20EF000MUS |
| Motherboard | LENOVO 20EF000MUS |
| CPU Information | |
|---|---|
| Name | Intel Core i7-4810MQ |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 30.95 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
460
85.5 IPS |
|
|
Image Classification (HP)
|
100% |
367
68.3 IPS |
|
|
Image Classification (Q)
|
99% |
314
58.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
546
8.85 IPS |
|
|
Image Segmentation (HP)
|
100% |
615
9.98 IPS |
|
|
Image Segmentation (Q)
|
98% |
278
4.53 IPS |
|
|
Pose Estimation (SP)
|
100% |
738
0.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
709
0.83 IPS |
|
|
Pose Estimation (Q)
|
96% |
717
0.84 IPS |
|
|
Object Detection (SP)
|
100% |
350
27.7 IPS |
|
|
Object Detection (HP)
|
100% |
332
26.3 IPS |
|
|
Object Detection (Q)
|
85% |
269
21.6 IPS |
|
|
Face Detection (SP)
|
100% |
721
8.57 IPS |
|
|
Face Detection (HP)
|
100% |
692
8.22 IPS |
|
|
Face Detection (Q)
|
97% |
520
6.20 IPS |
|
|
Depth Estimation (SP)
|
100% |
701
5.40 IPS |
|
|
Depth Estimation (HP)
|
99% |
674
5.20 IPS |
|
|
Depth Estimation (Q)
|
63% |
605
5.68 IPS |
|
|
Style Transfer (SP)
|
100% |
1079
1.39 IPS |
|
|
Style Transfer (HP)
|
100% |
1022
1.31 IPS |
|
|
Style Transfer (Q)
|
98% |
1312
1.69 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
388
14.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
396
14.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
340
12.6 IPS |
|
|
Text Classification (SP)
|
100% |
501
668.8 IPS |
|
|
Text Classification (HP)
|
100% |
525
700.4 IPS |
|
|
Text Classification (Q)
|
92% |
201
270.3 IPS |
|
|
Machine Translation (SP)
|
100% |
852
14.7 IPS |
|
|
Machine Translation (HP)
|
100% |
876
15.1 IPS |
|
|
Machine Translation (Q)
|
58% |
198
4.64 IPS |
