LENOVO 30HACTO1WW
Geekbench AI Score
13500
Single Precision Score
23607
Half Precision Score
10386
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Ansible212 |
| Upload Date | December 17 2024 11:52 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% |
5612
1.04 KIPS |
|
|
Image Classification (HP)
|
99% |
10549
1.97 KIPS |
|
|
Image Classification (Q)
|
100% |
4882
907.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
9279
150.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
12637
204.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
8533
138.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
60195
70.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
194954
227.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
53666
62.8 IPS |
|
|
Object Detection (SP)
|
100% |
6778
537.6 IPS |
|
|
Object Detection (HP)
|
100% |
11544
915.6 IPS |
|
|
Object Detection (Q)
|
89% |
5762
461.2 IPS |
|
|
Face Detection (SP)
|
100% |
14097
167.5 IPS |
|
|
Face Detection (HP)
|
100% |
23239
276.1 IPS |
|
|
Face Detection (Q)
|
97% |
11457
136.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
30052
231.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
61031
470.2 IPS |
|
|
Depth Estimation (Q)
|
76% |
25252
203.6 IPS |
|
|
Style Transfer (SP)
|
100% |
108089
139.0 IPS |
|
|
Style Transfer (HP)
|
100% |
285979
367.6 IPS |
|
|
Style Transfer (Q)
|
98% |
96239
124.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
23378
863.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39768
1.47 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
16914
626.3 IPS |
|
|
Text Classification (SP)
|
100% |
2927
3.91 KIPS |
|
|
Text Classification (HP)
|
99% |
3523
4.70 KIPS |
|
|
Text Classification (Q)
|
97% |
1838
2.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
3022
52.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3154
54.3 IPS |
|
|
Machine Translation (Q)
|
60% |
1310
29.2 IPS |
