LENOVO 30DFCTO1WW
Geekbench AI Score
1858
Single Precision Score
1911
Half Precision Score
1389
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | rjmaybin |
| Upload Date | April 02 2025 12:20 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA Quadro P1000 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 30DFCTO1WW |
| Motherboard | LENOVO 3172 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-10900T |
| Topology | 1 Processor, 10 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 5 |
| Base Frequency | 1.90 GHz |
| Cluster 1 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
407
75.6 IPS |
|
|
Image Classification (HP)
|
100% |
746
138.7 IPS |
|
|
Image Classification (Q)
|
99% |
362
67.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1165
18.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1020
16.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
961
15.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9661
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
5901
6.89 IPS |
|
|
Pose Estimation (Q)
|
96% |
7864
9.21 IPS |
|
|
Object Detection (SP)
|
100% |
551
43.7 IPS |
|
|
Object Detection (HP)
|
100% |
942
74.7 IPS |
|
|
Object Detection (Q)
|
83% |
492
39.8 IPS |
|
|
Face Detection (SP)
|
100% |
1082
12.9 IPS |
|
|
Face Detection (HP)
|
100% |
1710
20.3 IPS |
|
|
Face Detection (Q)
|
97% |
973
11.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3555
27.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3396
26.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
2920
23.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17755
22.8 IPS |
|
|
Style Transfer (HP)
|
100% |
10701
13.8 IPS |
|
|
Style Transfer (Q)
|
98% |
13605
17.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3549
131.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2895
106.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2372
87.8 IPS |
|
|
Text Classification (SP)
|
100% |
674
899.3 IPS |
|
|
Text Classification (HP)
|
100% |
742
990.4 IPS |
|
|
Text Classification (Q)
|
97% |
405
542.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1193
20.6 IPS |
|
|
Machine Translation (HP)
|
96% |
1155
20.0 IPS |
|
|
Machine Translation (Q)
|
70% |
537
10.1 IPS |
