LENOVO 20MFCTO1WW
Geekbench AI Score
1699
Single Precision Score
1751
Half Precision Score
2698
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | andybeals |
| Upload Date | August 31 2024 04:29 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-8750H CPU @ 2.20GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 20MFCTO1WW |
| Motherboard | LENOVO 20MFCTO1WW |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8750H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 2.21 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1033
192.1 IPS |
|
|
Image Classification (HP)
|
100% |
999
185.8 IPS |
|
|
Image Classification (Q)
|
100% |
1658
308.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1099
17.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1115
18.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1786
29.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2193
2.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
2118
2.47 IPS |
|
|
Pose Estimation (Q)
|
94% |
3724
4.37 IPS |
|
|
Object Detection (SP)
|
100% |
1005
79.7 IPS |
|
|
Object Detection (HP)
|
100% |
996
79.0 IPS |
|
|
Object Detection (Q)
|
87% |
1920
154.0 IPS |
|
|
Face Detection (SP)
|
100% |
2393
28.4 IPS |
|
|
Face Detection (HP)
|
100% |
2793
33.2 IPS |
|
|
Face Detection (Q)
|
97% |
4751
56.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2546
19.6 IPS |
|
|
Depth Estimation (HP)
|
100% |
3231
24.9 IPS |
|
|
Depth Estimation (Q)
|
79% |
4360
34.6 IPS |
|
|
Style Transfer (SP)
|
100% |
6180
7.94 IPS |
|
|
Style Transfer (HP)
|
100% |
5775
7.42 IPS |
|
|
Style Transfer (Q)
|
98% |
12637
16.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1119
41.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1140
42.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3622
134.2 IPS |
|
|
Text Classification (SP)
|
100% |
998
1.33 KIPS |
|
|
Text Classification (HP)
|
100% |
1184
1.58 KIPS |
|
|
Text Classification (Q)
|
91% |
746
1.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
1915
33.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1645
28.3 IPS |
|
|
Machine Translation (Q)
|
90% |
1366
23.7 IPS |
