LENOVO 30HACTO1WW
Geekbench AI Score
13571
Single Precision Score
22894
Half Precision Score
10482
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Ansible212 |
| Upload Date | December 23 2024 05:44 AM |
| 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% |
5740
1.07 KIPS |
|
|
Image Classification (HP)
|
99% |
10096
1.88 KIPS |
|
|
Image Classification (Q)
|
100% |
4884
908.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
9243
149.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
11945
193.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
8609
140.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
61408
71.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
195944
228.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
56017
65.6 IPS |
|
|
Object Detection (SP)
|
100% |
7023
557.1 IPS |
|
|
Object Detection (HP)
|
100% |
11353
900.6 IPS |
|
|
Object Detection (Q)
|
89% |
5799
464.2 IPS |
|
|
Face Detection (SP)
|
100% |
14509
172.4 IPS |
|
|
Face Detection (HP)
|
100% |
21839
259.5 IPS |
|
|
Face Detection (Q)
|
97% |
12240
145.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
30530
235.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
62051
478.1 IPS |
|
|
Depth Estimation (Q)
|
76% |
25421
205.0 IPS |
|
|
Style Transfer (SP)
|
100% |
110723
142.3 IPS |
|
|
Style Transfer (HP)
|
100% |
282747
363.5 IPS |
|
|
Style Transfer (Q)
|
98% |
101109
130.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22858
844.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37580
1.39 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
16863
624.4 IPS |
|
|
Text Classification (SP)
|
100% |
2872
3.83 KIPS |
|
|
Text Classification (HP)
|
99% |
3281
4.38 KIPS |
|
|
Text Classification (Q)
|
97% |
1673
2.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
2877
49.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3122
53.8 IPS |
|
|
Machine Translation (Q)
|
60% |
1322
29.5 IPS |
