LENOVO 30HACTO1WW
Geekbench AI Score
13411
Single Precision Score
23021
Half Precision Score
10778
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Ansible212 |
| Upload Date | December 15 2024 04:48 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% |
5687
1.06 KIPS |
|
|
Image Classification (HP)
|
99% |
10445
1.95 KIPS |
|
|
Image Classification (Q)
|
99% |
5043
940.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
8769
142.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
11578
187.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
8050
130.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
61895
72.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
193150
225.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
55520
65.1 IPS |
|
|
Object Detection (SP)
|
100% |
6911
548.2 IPS |
|
|
Object Detection (HP)
|
100% |
11570
917.8 IPS |
|
|
Object Detection (Q)
|
84% |
6304
508.5 IPS |
|
|
Face Detection (SP)
|
100% |
15460
183.7 IPS |
|
|
Face Detection (HP)
|
100% |
25419
302.0 IPS |
|
|
Face Detection (Q)
|
97% |
13873
165.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
31057
239.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
61530
474.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
26180
209.9 IPS |
|
|
Style Transfer (SP)
|
100% |
112090
144.1 IPS |
|
|
Style Transfer (HP)
|
100% |
286116
367.8 IPS |
|
|
Style Transfer (Q)
|
98% |
99561
128.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22293
823.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37219
1.37 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
16645
616.4 IPS |
|
|
Text Classification (SP)
|
100% |
2630
3.51 KIPS |
|
|
Text Classification (HP)
|
99% |
3109
4.15 KIPS |
|
|
Text Classification (Q)
|
97% |
1647
2.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
2796
48.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2988
51.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1502
28.2 IPS |
