LENOVO 20Y4S1HV04
Geekbench AI Score
1344
Single Precision Score
1344
Half Precision Score
641
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | ce107 |
| Upload Date | January 31 2025 09:41 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i7-11850H |
| System Information | |
|---|---|
| Operating System | Fedora Linux 41 (Workstation Edition) |
| Model | LENOVO 20Y4S1HV04 |
| Motherboard | LENOVO 20Y4S1HV04 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-11850H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 141 Stepping 1 |
| Base Frequency | 4.80 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1023
190.3 IPS |
|
|
Image Classification (HP)
|
100% |
1021
190.0 IPS |
|
|
Image Classification (Q)
|
99% |
474
88.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1245
20.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1332
21.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
448
7.28 IPS |
|
|
Pose Estimation (SP)
|
100% |
1605
1.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
1629
1.90 IPS |
|
|
Pose Estimation (Q)
|
96% |
1279
1.50 IPS |
|
|
Object Detection (SP)
|
100% |
1014
80.4 IPS |
|
|
Object Detection (HP)
|
100% |
1028
81.5 IPS |
|
|
Object Detection (Q)
|
85% |
391
31.5 IPS |
|
|
Face Detection (SP)
|
100% |
1887
22.4 IPS |
|
|
Face Detection (HP)
|
100% |
1892
22.5 IPS |
|
|
Face Detection (Q)
|
97% |
1019
12.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1524
11.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1418
10.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
733
6.87 IPS |
|
|
Style Transfer (SP)
|
100% |
1917
2.46 IPS |
|
|
Style Transfer (HP)
|
100% |
1921
2.47 IPS |
|
|
Style Transfer (Q)
|
98% |
2345
3.02 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
931
34.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
911
33.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
662
24.5 IPS |
|
|
Text Classification (SP)
|
100% |
1107
1.48 KIPS |
|
|
Text Classification (HP)
|
100% |
1097
1.46 KIPS |
|
|
Text Classification (Q)
|
92% |
332
445.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1633
28.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1647
28.4 IPS |
|
|
Machine Translation (Q)
|
58% |
287
6.74 IPS |
