LattePanda LattePanda Sigma
Geekbench AI Score
15183
Single Precision Score
19700
Half Precision Score
10793
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | egoodchild |
| Upload Date | March 17 2025 10:29 AM |
| Views | 28 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LattePanda LattePanda Sigma |
| Motherboard | Default string Default string |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1340P |
| Topology | 1 Processor, 12 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 1.90 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5319
989.1 IPS |
|
|
Image Classification (HP)
|
99% |
6650
1.24 KIPS |
|
|
Image Classification (Q)
|
100% |
4507
838.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
7234
117.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
8367
135.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
6277
102.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
146893
171.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
253044
295.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
113161
132.6 IPS |
|
|
Object Detection (SP)
|
100% |
6580
521.9 IPS |
|
|
Object Detection (HP)
|
100% |
7724
612.7 IPS |
|
|
Object Detection (Q)
|
85% |
5320
428.0 IPS |
|
|
Face Detection (SP)
|
100% |
15597
185.3 IPS |
|
|
Face Detection (HP)
|
100% |
18893
224.5 IPS |
|
|
Face Detection (Q)
|
97% |
12902
153.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
49344
380.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
71723
552.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
31425
251.7 IPS |
|
|
Style Transfer (SP)
|
100% |
216382
278.2 IPS |
|
|
Style Transfer (HP)
|
100% |
379594
488.0 IPS |
|
|
Style Transfer (Q)
|
98% |
158874
204.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28062
1.04 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
35134
1.30 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
17617
652.3 IPS |
|
|
Text Classification (SP)
|
100% |
1952
2.60 KIPS |
|
|
Text Classification (HP)
|
99% |
2366
3.16 KIPS |
|
|
Text Classification (Q)
|
97% |
1108
1.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
1919
33.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1894
32.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1002
18.8 IPS |
