LENOVO 20MFCTO1WW
Geekbench AI Score
3833
Single Precision Score
3630
Half Precision Score
2833
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | andybeals |
| Upload Date | August 31 2024 04:24 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1050 Ti with Max-Q Design |
| 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% |
1369
254.6 IPS |
|
|
Image Classification (HP)
|
100% |
1676
311.7 IPS |
|
|
Image Classification (Q)
|
100% |
1144
212.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1916
31.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2151
34.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1624
26.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
17957
21.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
9671
11.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
15445
18.1 IPS |
|
|
Object Detection (SP)
|
100% |
1683
133.5 IPS |
|
|
Object Detection (HP)
|
100% |
2041
161.9 IPS |
|
|
Object Detection (Q)
|
89% |
1435
114.9 IPS |
|
|
Face Detection (SP)
|
100% |
2900
34.5 IPS |
|
|
Face Detection (HP)
|
100% |
4053
48.2 IPS |
|
|
Face Detection (Q)
|
97% |
2359
28.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7640
58.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
7956
61.3 IPS |
|
|
Depth Estimation (Q)
|
73% |
5892
48.3 IPS |
|
|
Style Transfer (SP)
|
100% |
30466
39.2 IPS |
|
|
Style Transfer (HP)
|
100% |
18301
23.5 IPS |
|
|
Style Transfer (Q)
|
98% |
25291
32.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6886
254.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4777
176.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4664
172.7 IPS |
|
|
Text Classification (SP)
|
100% |
1035
1.38 KIPS |
|
|
Text Classification (HP)
|
100% |
1117
1.49 KIPS |
|
|
Text Classification (Q)
|
97% |
664
888.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1796
30.9 IPS |
|
|
Machine Translation (HP)
|
96% |
1773
30.7 IPS |
|
|
Machine Translation (Q)
|
60% |
745
16.6 IPS |
