LENOVO 30HACTO1WW
Geekbench AI Score
1781
Single Precision Score
1836
Half Precision Score
1205
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Ansible212 |
| Upload Date | December 15 2024 01:09 PM |
| Views | 1 |
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 30HACTO1WW |
| Motherboard | LENOVO 1066 |
| Power Plan | Lenovo Default |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900 |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
778
144.7 IPS |
|
|
Image Classification (HP)
|
100% |
794
147.7 IPS |
|
|
Image Classification (Q)
|
100% |
650
120.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1065
17.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1206
19.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
817
13.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5564
6.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
6173
7.20 IPS |
|
|
Pose Estimation (Q)
|
96% |
3754
4.40 IPS |
|
|
Object Detection (SP)
|
100% |
857
68.0 IPS |
|
|
Object Detection (HP)
|
98% |
716
57.0 IPS |
|
|
Object Detection (Q)
|
86% |
721
58.0 IPS |
|
|
Face Detection (SP)
|
100% |
1743
20.7 IPS |
|
|
Face Detection (HP)
|
100% |
1899
22.6 IPS |
|
|
Face Detection (Q)
|
97% |
1300
15.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3258
25.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
3516
27.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
2412
19.3 IPS |
|
|
Style Transfer (SP)
|
100% |
11473
14.7 IPS |
|
|
Style Transfer (HP)
|
100% |
15255
19.6 IPS |
|
|
Style Transfer (Q)
|
98% |
8493
11.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1938
71.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2656
98.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
990
36.7 IPS |
|
|
Text Classification (SP)
|
100% |
872
1.16 KIPS |
|
|
Text Classification (HP)
|
100% |
524
698.9 IPS |
|
|
Text Classification (Q)
|
97% |
447
598.6 IPS |
|
|
Machine Translation (SP)
|
100% |
741
12.8 IPS |
|
|
Machine Translation (HP)
|
100% |
726
12.5 IPS |
|
|
Machine Translation (Q)
|
70% |
383
7.19 IPS |
