LENOVO 30H00016US
Geekbench AI Score
1763
Single Precision Score
1820
Half Precision Score
1151
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 01 2025 05:57 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 770 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 30H00016US |
| Motherboard | LENOVO 3333 |
| Power Plan | Lenovo Default |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900T |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 1.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
749
139.3 IPS |
|
|
Image Classification (HP)
|
100% |
777
144.4 IPS |
|
|
Image Classification (Q)
|
100% |
643
119.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1070
17.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1207
19.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
809
13.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5565
6.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
6131
7.15 IPS |
|
|
Pose Estimation (Q)
|
96% |
3727
4.36 IPS |
|
|
Object Detection (SP)
|
100% |
841
66.7 IPS |
|
|
Object Detection (HP)
|
98% |
725
57.7 IPS |
|
|
Object Detection (Q)
|
86% |
685
55.0 IPS |
|
|
Face Detection (SP)
|
100% |
1733
20.6 IPS |
|
|
Face Detection (HP)
|
100% |
1862
22.1 IPS |
|
|
Face Detection (Q)
|
97% |
1278
15.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3210
24.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
3477
26.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
2354
18.9 IPS |
|
|
Style Transfer (SP)
|
100% |
11406
14.7 IPS |
|
|
Style Transfer (HP)
|
100% |
15180
19.5 IPS |
|
|
Style Transfer (Q)
|
98% |
8460
10.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1868
69.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2537
93.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
946
35.0 IPS |
|
|
Text Classification (SP)
|
100% |
697
930.2 IPS |
|
|
Text Classification (HP)
|
100% |
420
560.5 IPS |
|
|
Text Classification (Q)
|
97% |
339
454.5 IPS |
|
|
Machine Translation (SP)
|
100% |
941
16.2 IPS |
|
|
Machine Translation (HP)
|
100% |
918
15.8 IPS |
|
|
Machine Translation (Q)
|
70% |
377
7.07 IPS |
