LENOVO F0E5000PUS
Geekbench AI Score
2024
Single Precision Score
992
Half Precision Score
2738
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 01 2025 03:55 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-8700 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | LENOVO F0E5000PUS |
| Motherboard | LENOVO 36F9 |
| Power Plan | Lenovo Default |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8700 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 3.19 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1757
326.7 IPS |
|
|
Image Classification (HP)
|
100% |
398
74.1 IPS |
|
|
Image Classification (Q)
|
96% |
2667
498.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
855
13.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
573
9.29 IPS |
|
|
Image Segmentation (Q)
|
97% |
2155
35.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2844
3.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
2126
2.48 IPS |
|
|
Pose Estimation (Q)
|
86% |
5152
6.09 IPS |
|
|
Object Detection (SP)
|
100% |
1339
106.2 IPS |
|
|
Object Detection (HP)
|
100% |
467
37.1 IPS |
|
|
Object Detection (Q)
|
58% |
1569
171.4 IPS |
|
|
Face Detection (SP)
|
100% |
2759
32.8 IPS |
|
|
Face Detection (HP)
|
100% |
957
11.4 IPS |
|
|
Face Detection (Q)
|
96% |
4559
54.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3504
27.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1324
10.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
5662
45.2 IPS |
|
|
Style Transfer (SP)
|
100% |
7238
9.30 IPS |
|
|
Style Transfer (HP)
|
100% |
6095
7.84 IPS |
|
|
Style Transfer (Q)
|
87% |
10555
13.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1445
53.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1247
46.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2747
101.8 IPS |
|
|
Text Classification (SP)
|
100% |
1316
1.76 KIPS |
|
|
Text Classification (HP)
|
100% |
678
904.8 IPS |
|
|
Text Classification (Q)
|
97% |
380
509.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1523
26.2 IPS |
|
|
Machine Translation (HP)
|
100% |
628
10.8 IPS |
|
|
Machine Translation (Q)
|
68% |
1798
34.7 IPS |
