LENOVO 30HACTO1WW
Geekbench AI Score
3940
Single Precision Score
1225
Half Precision Score
6039
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Ansible212 |
| Upload Date | December 15 2024 01:12 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-13900 |
| 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% |
2975
553.3 IPS |
|
|
Image Classification (HP)
|
100% |
422
78.5 IPS |
|
|
Image Classification (Q)
|
99% |
5185
967.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1337
21.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
738
12.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2790
45.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8344
9.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
3811
4.45 IPS |
|
|
Pose Estimation (Q)
|
94% |
24553
28.8 IPS |
|
|
Object Detection (SP)
|
100% |
2941
233.3 IPS |
|
|
Object Detection (HP)
|
100% |
555
44.0 IPS |
|
|
Object Detection (Q)
|
86% |
5406
434.4 IPS |
|
|
Face Detection (SP)
|
100% |
8520
101.2 IPS |
|
|
Face Detection (HP)
|
100% |
1385
16.5 IPS |
|
|
Face Detection (Q)
|
97% |
8695
103.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
9309
71.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1677
12.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
12807
102.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18372
23.6 IPS |
|
|
Style Transfer (HP)
|
100% |
9486
12.2 IPS |
|
|
Style Transfer (Q)
|
98% |
21132
27.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3060
113.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1748
64.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3855
142.7 IPS |
|
|
Text Classification (SP)
|
100% |
1322
1.76 KIPS |
|
|
Text Classification (HP)
|
100% |
592
789.6 IPS |
|
|
Text Classification (Q)
|
97% |
1341
1.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
1567
27.0 IPS |
|
|
Machine Translation (HP)
|
100% |
507
8.73 IPS |
|
|
Machine Translation (Q)
|
65% |
2762
55.5 IPS |
