LENOVO 30HACTO1WW
Geekbench AI Score
12957
Single Precision Score
22440
Half Precision Score
10083
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Ansible212 |
| Upload Date | December 17 2024 11:46 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% |
5422
1.01 KIPS |
|
|
Image Classification (HP)
|
99% |
9739
1.82 KIPS |
|
|
Image Classification (Q)
|
100% |
4750
883.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
9029
146.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
12055
195.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
8180
133.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
59609
69.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
189588
221.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
53527
62.7 IPS |
|
|
Object Detection (SP)
|
100% |
6745
535.0 IPS |
|
|
Object Detection (HP)
|
100% |
10604
841.1 IPS |
|
|
Object Detection (Q)
|
89% |
5316
425.6 IPS |
|
|
Face Detection (SP)
|
100% |
12502
148.6 IPS |
|
|
Face Detection (HP)
|
100% |
20695
245.9 IPS |
|
|
Face Detection (Q)
|
97% |
11408
136.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
28698
221.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
59673
459.7 IPS |
|
|
Depth Estimation (Q)
|
76% |
24636
198.6 IPS |
|
|
Style Transfer (SP)
|
100% |
110729
142.3 IPS |
|
|
Style Transfer (HP)
|
100% |
289151
371.7 IPS |
|
|
Style Transfer (Q)
|
98% |
103196
133.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22325
824.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38296
1.41 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
16520
611.7 IPS |
|
|
Text Classification (SP)
|
100% |
2896
3.87 KIPS |
|
|
Text Classification (HP)
|
99% |
3418
4.56 KIPS |
|
|
Text Classification (Q)
|
97% |
1717
2.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
2639
45.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2935
50.6 IPS |
|
|
Machine Translation (Q)
|
60% |
1195
26.7 IPS |
