LENOVO 30HACTO1WW
Geekbench AI Score
13470
Single Precision Score
23034
Half Precision Score
10671
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Ansible212 |
| Upload Date | December 15 2024 04:50 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 High Performance |
| 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% |
5586
1.04 KIPS |
|
|
Image Classification (HP)
|
99% |
10665
1.99 KIPS |
|
|
Image Classification (Q)
|
99% |
5013
935.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
9025
146.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
11595
188.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
7994
130.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
61798
72.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
194018
226.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
54482
63.8 IPS |
|
|
Object Detection (SP)
|
100% |
6901
547.4 IPS |
|
|
Object Detection (HP)
|
100% |
11369
901.8 IPS |
|
|
Object Detection (Q)
|
84% |
6196
499.7 IPS |
|
|
Face Detection (SP)
|
100% |
15283
181.6 IPS |
|
|
Face Detection (HP)
|
100% |
24449
290.5 IPS |
|
|
Face Detection (Q)
|
97% |
13666
163.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
30675
236.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
59504
458.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
25354
203.3 IPS |
|
|
Style Transfer (SP)
|
100% |
113612
146.1 IPS |
|
|
Style Transfer (HP)
|
100% |
287611
369.7 IPS |
|
|
Style Transfer (Q)
|
98% |
95820
123.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
21578
796.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37381
1.38 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
16478
610.2 IPS |
|
|
Text Classification (SP)
|
100% |
2681
3.58 KIPS |
|
|
Text Classification (HP)
|
99% |
3105
4.14 KIPS |
|
|
Text Classification (Q)
|
97% |
1668
2.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
2970
51.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3175
54.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1551
29.1 IPS |
