LENOVO 21DC0030US
Geekbench AI Score
9769
Single Precision Score
13644
Half Precision Score
6978
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | matus201 |
| Upload Date | September 06 2024 05:45 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX A5500 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | LENOVO 21DC0030US |
| Motherboard | LENOVO 21DC0030US |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-12900H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4141
770.0 IPS |
|
|
Image Classification (HP)
|
100% |
5827
1.08 KIPS |
|
|
Image Classification (Q)
|
100% |
3167
588.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
4303
69.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4810
78.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
3771
61.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
56186
65.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
157490
183.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
48138
56.4 IPS |
|
|
Object Detection (SP)
|
100% |
4876
386.8 IPS |
|
|
Object Detection (HP)
|
100% |
6026
478.0 IPS |
|
|
Object Detection (Q)
|
89% |
3615
289.3 IPS |
|
|
Face Detection (SP)
|
100% |
10211
121.3 IPS |
|
|
Face Detection (HP)
|
100% |
12751
151.5 IPS |
|
|
Face Detection (Q)
|
97% |
8410
100.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
26390
203.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
51026
393.1 IPS |
|
|
Depth Estimation (Q)
|
76% |
19017
153.1 IPS |
|
|
Style Transfer (SP)
|
100% |
128341
165.0 IPS |
|
|
Style Transfer (HP)
|
100% |
264350
339.8 IPS |
|
|
Style Transfer (Q)
|
98% |
98726
127.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20039
740.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25036
924.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12416
459.8 IPS |
|
|
Text Classification (SP)
|
100% |
1869
2.49 KIPS |
|
|
Text Classification (HP)
|
100% |
1562
2.08 KIPS |
|
|
Text Classification (Q)
|
97% |
1046
1.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
1253
21.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1250
21.5 IPS |
|
|
Machine Translation (Q)
|
60% |
643
14.3 IPS |
