LENOVO 30DFCTO1WW
Geekbench AI Score
1666
Single Precision Score
716
Half Precision Score
2351
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | rjmaybin |
| Upload Date | April 02 2025 12:15 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-10900T |
| 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% |
1294
240.6 IPS |
|
|
Image Classification (HP)
|
100% |
244
45.5 IPS |
|
|
Image Classification (Q)
|
96% |
2132
398.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
679
11.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
405
6.57 IPS |
|
|
Image Segmentation (Q)
|
97% |
1300
21.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3089
3.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
2408
2.81 IPS |
|
|
Pose Estimation (Q)
|
86% |
5934
7.02 IPS |
|
|
Object Detection (SP)
|
100% |
1235
97.9 IPS |
|
|
Object Detection (HP)
|
100% |
313
24.8 IPS |
|
|
Object Detection (Q)
|
58% |
1570
171.6 IPS |
|
|
Face Detection (SP)
|
100% |
2341
27.8 IPS |
|
|
Face Detection (HP)
|
100% |
683
8.12 IPS |
|
|
Face Detection (Q)
|
96% |
3988
47.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3667
28.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1028
7.92 IPS |
|
|
Depth Estimation (Q)
|
78% |
5280
42.1 IPS |
|
|
Style Transfer (SP)
|
100% |
7375
9.48 IPS |
|
|
Style Transfer (HP)
|
100% |
5536
7.12 IPS |
|
|
Style Transfer (Q)
|
87% |
8621
11.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1206
44.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
997
36.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1397
51.8 IPS |
|
|
Text Classification (SP)
|
100% |
696
929.1 IPS |
|
|
Text Classification (HP)
|
100% |
362
483.0 IPS |
|
|
Text Classification (Q)
|
97% |
626
838.5 IPS |
|
|
Machine Translation (SP)
|
100% |
925
15.9 IPS |
|
|
Machine Translation (HP)
|
100% |
342
5.89 IPS |
|
|
Machine Translation (Q)
|
68% |
1261
24.4 IPS |
