LENOVO 30HACTO1WW
Geekbench AI Score
12942
Single Precision Score
22658
Half Precision Score
10062
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Ansible212 |
| Upload Date | December 22 2024 11:48 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% |
5124
952.9 IPS |
|
|
Image Classification (HP)
|
99% |
9675
1.80 KIPS |
|
|
Image Classification (Q)
|
100% |
4655
865.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
8864
143.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
11938
193.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
8078
131.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
62814
73.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
196664
229.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
55288
64.7 IPS |
|
|
Object Detection (SP)
|
100% |
6350
503.7 IPS |
|
|
Object Detection (HP)
|
100% |
10691
848.0 IPS |
|
|
Object Detection (Q)
|
89% |
5203
416.5 IPS |
|
|
Face Detection (SP)
|
100% |
13091
155.5 IPS |
|
|
Face Detection (HP)
|
100% |
21789
258.9 IPS |
|
|
Face Detection (Q)
|
97% |
10620
126.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
29561
227.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
58427
450.1 IPS |
|
|
Depth Estimation (Q)
|
76% |
24713
199.3 IPS |
|
|
Style Transfer (SP)
|
100% |
109531
140.8 IPS |
|
|
Style Transfer (HP)
|
100% |
288401
370.7 IPS |
|
|
Style Transfer (Q)
|
98% |
100271
129.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
21819
805.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37082
1.37 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
16796
621.9 IPS |
|
|
Text Classification (SP)
|
100% |
2793
3.73 KIPS |
|
|
Text Classification (HP)
|
99% |
3524
4.70 KIPS |
|
|
Text Classification (Q)
|
97% |
1831
2.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
2818
48.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3061
52.7 IPS |
|
|
Machine Translation (Q)
|
60% |
1216
27.1 IPS |
