LENOVO 20MFCTO1WW
Geekbench AI Score
1496
Single Precision Score
2152
Half Precision Score
2002
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | andybeals |
| Upload Date | August 31 2024 04:37 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 630 (iGPU) |
| 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% |
980
182.2 IPS |
|
|
Image Classification (HP)
|
100% |
1488
276.6 IPS |
|
|
Image Classification (Q)
|
100% |
1339
248.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1194
19.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1919
31.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1801
29.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2387
2.78 IPS |
|
|
Pose Estimation (HP)
|
99% |
2198
2.57 IPS |
|
|
Pose Estimation (Q)
|
97% |
3240
3.79 IPS |
|
|
Object Detection (SP)
|
100% |
912
72.3 IPS |
|
|
Object Detection (HP)
|
99% |
1430
113.7 IPS |
|
|
Object Detection (Q)
|
88% |
1368
109.7 IPS |
|
|
Face Detection (SP)
|
100% |
2615
31.1 IPS |
|
|
Face Detection (HP)
|
100% |
4359
51.8 IPS |
|
|
Face Detection (Q)
|
97% |
3857
46.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2814
21.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
4722
36.5 IPS |
|
|
Depth Estimation (Q)
|
80% |
4170
33.0 IPS |
|
|
Style Transfer (SP)
|
100% |
6703
8.62 IPS |
|
|
Style Transfer (HP)
|
100% |
9020
11.6 IPS |
|
|
Style Transfer (Q)
|
98% |
7961
10.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1150
42.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2046
75.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1916
71.0 IPS |
|
|
Text Classification (SP)
|
71% |
607
877.8 IPS |
|
|
Text Classification (HP)
|
71% |
718
1.04 KIPS |
|
|
Text Classification (Q)
|
92% |
485
651.1 IPS |
|
|
Machine Translation (SP)
|
100% |
644
11.1 IPS |
|
|
Machine Translation (HP)
|
97% |
872
15.1 IPS |
|
|
Machine Translation (Q)
|
90% |
817
14.2 IPS |
