LENOVO 30HACTO1WW
Geekbench AI Score
13143
Single Precision Score
23033
Half Precision Score
10408
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Ansible212 |
| Upload Date | December 18 2024 07:23 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX 2000 Ada Generation |
| 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% |
5292
984.1 IPS |
|
|
Image Classification (HP)
|
99% |
10244
1.91 KIPS |
|
|
Image Classification (Q)
|
100% |
4795
891.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
8883
144.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
11658
189.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
8246
134.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
61277
71.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
189284
220.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
54291
63.6 IPS |
|
|
Object Detection (SP)
|
100% |
6561
520.5 IPS |
|
|
Object Detection (HP)
|
100% |
11063
877.5 IPS |
|
|
Object Detection (Q)
|
89% |
5873
470.1 IPS |
|
|
Face Detection (SP)
|
100% |
12959
154.0 IPS |
|
|
Face Detection (HP)
|
100% |
22541
267.8 IPS |
|
|
Face Detection (Q)
|
97% |
11375
135.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
30530
235.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
60881
469.1 IPS |
|
|
Depth Estimation (Q)
|
76% |
25170
202.9 IPS |
|
|
Style Transfer (SP)
|
100% |
108226
139.1 IPS |
|
|
Style Transfer (HP)
|
100% |
289455
372.1 IPS |
|
|
Style Transfer (Q)
|
98% |
100492
129.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22829
843.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38290
1.41 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
16835
623.4 IPS |
|
|
Text Classification (SP)
|
100% |
2859
3.82 KIPS |
|
|
Text Classification (HP)
|
99% |
3556
4.75 KIPS |
|
|
Text Classification (Q)
|
97% |
1822
2.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
2912
50.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3108
53.5 IPS |
|
|
Machine Translation (Q)
|
60% |
1341
29.9 IPS |
