LENOVO 30HACTO1WW
Geekbench AI Score
13078
Single Precision Score
22453
Half Precision Score
10040
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Ansible212 |
| Upload Date | December 15 2024 05:17 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% |
5245
975.5 IPS |
|
|
Image Classification (HP)
|
99% |
9735
1.82 KIPS |
|
|
Image Classification (Q)
|
100% |
4512
839.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
8709
141.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
12012
194.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
8335
135.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
60647
70.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
188148
219.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
54070
63.3 IPS |
|
|
Object Detection (SP)
|
100% |
6701
531.5 IPS |
|
|
Object Detection (HP)
|
100% |
10857
861.2 IPS |
|
|
Object Detection (Q)
|
89% |
5372
430.0 IPS |
|
|
Face Detection (SP)
|
100% |
13657
162.3 IPS |
|
|
Face Detection (HP)
|
100% |
21385
254.1 IPS |
|
|
Face Detection (Q)
|
97% |
10807
128.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
29361
226.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
59931
461.7 IPS |
|
|
Depth Estimation (Q)
|
76% |
24585
198.2 IPS |
|
|
Style Transfer (SP)
|
100% |
110529
142.1 IPS |
|
|
Style Transfer (HP)
|
100% |
283503
364.4 IPS |
|
|
Style Transfer (Q)
|
98% |
101558
131.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22098
816.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37465
1.38 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
16376
606.4 IPS |
|
|
Text Classification (SP)
|
100% |
2893
3.86 KIPS |
|
|
Text Classification (HP)
|
99% |
3332
4.45 KIPS |
|
|
Text Classification (Q)
|
97% |
1842
2.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
2784
48.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3006
51.8 IPS |
|
|
Machine Translation (Q)
|
60% |
1171
26.1 IPS |
