LattePanda LattePanda Sigma
Geekbench AI Score
14069
Single Precision Score
18440
Half Precision Score
10331
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | egoodchild |
| Upload Date | March 29 2025 11:35 AM |
| Views | 9 |
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% |
5654
1.05 KIPS |
|
|
Image Classification (HP)
|
99% |
6146
1.15 KIPS |
|
|
Image Classification (Q)
|
100% |
3686
685.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
6431
104.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
7327
118.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
5583
90.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
139955
163.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
237088
276.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
108858
127.5 IPS |
|
|
Object Detection (SP)
|
100% |
6313
500.7 IPS |
|
|
Object Detection (HP)
|
100% |
7480
593.3 IPS |
|
|
Object Detection (Q)
|
85% |
5241
421.6 IPS |
|
|
Face Detection (SP)
|
100% |
14538
172.7 IPS |
|
|
Face Detection (HP)
|
100% |
17044
202.5 IPS |
|
|
Face Detection (Q)
|
97% |
12161
145.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
48818
376.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
72421
558.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
32393
259.4 IPS |
|
|
Style Transfer (SP)
|
100% |
210539
270.7 IPS |
|
|
Style Transfer (HP)
|
100% |
381342
490.2 IPS |
|
|
Style Transfer (Q)
|
98% |
161331
208.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24617
909.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30469
1.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
16991
629.1 IPS |
|
|
Text Classification (SP)
|
100% |
1747
2.33 KIPS |
|
|
Text Classification (HP)
|
99% |
2400
3.20 KIPS |
|
|
Text Classification (Q)
|
97% |
1187
1.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
1472
25.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1654
28.5 IPS |
|
|
Machine Translation (Q)
|
70% |
921
17.3 IPS |
