LENOVO 30HACTO1WW
Geekbench AI Score
13045
Single Precision Score
22563
Half Precision Score
10614
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Ansible212 |
| Upload Date | December 15 2024 12:57 PM |
| Views | 2 |
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% |
5538
1.03 KIPS |
|
|
Image Classification (HP)
|
99% |
9838
1.83 KIPS |
|
|
Image Classification (Q)
|
99% |
5013
934.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
8765
142.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
11807
191.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
8033
130.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
60035
70.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
192647
224.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
53674
62.9 IPS |
|
|
Object Detection (SP)
|
100% |
6859
544.0 IPS |
|
|
Object Detection (HP)
|
100% |
11431
906.7 IPS |
|
|
Object Detection (Q)
|
84% |
6173
497.9 IPS |
|
|
Face Detection (SP)
|
100% |
15139
179.9 IPS |
|
|
Face Detection (HP)
|
100% |
24063
285.9 IPS |
|
|
Face Detection (Q)
|
97% |
13577
161.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
30020
231.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
60885
469.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
25322
203.0 IPS |
|
|
Style Transfer (SP)
|
100% |
103697
133.3 IPS |
|
|
Style Transfer (HP)
|
100% |
284777
366.1 IPS |
|
|
Style Transfer (Q)
|
98% |
96922
125.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22159
818.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
36562
1.35 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
16353
605.5 IPS |
|
|
Text Classification (SP)
|
100% |
2457
3.28 KIPS |
|
|
Text Classification (HP)
|
99% |
2950
3.94 KIPS |
|
|
Text Classification (Q)
|
97% |
1682
2.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
2783
47.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2972
51.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1485
27.8 IPS |
