SEEWO D30te_G1
Geekbench AI Score
3104
Single Precision Score
1360
Half Precision Score
5590
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | March 12 2025 02:58 AM |
| Views | 24 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-14400 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | SEEWO D30te_G1 |
| Motherboard | SEEWO MB.I760.DC01 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14400 |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2516
467.9 IPS |
|
|
Image Classification (HP)
|
100% |
506
94.1 IPS |
|
|
Image Classification (Q)
|
99% |
5161
962.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1503
24.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
951
15.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2862
46.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5481
6.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
3715
4.33 IPS |
|
|
Pose Estimation (Q)
|
94% |
18776
22.0 IPS |
|
|
Object Detection (SP)
|
100% |
2344
185.9 IPS |
|
|
Object Detection (HP)
|
100% |
629
49.9 IPS |
|
|
Object Detection (Q)
|
86% |
5263
423.0 IPS |
|
|
Face Detection (SP)
|
100% |
4624
54.9 IPS |
|
|
Face Detection (HP)
|
100% |
1429
17.0 IPS |
|
|
Face Detection (Q)
|
97% |
7684
91.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5324
41.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1757
13.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
12015
95.9 IPS |
|
|
Style Transfer (SP)
|
100% |
11542
14.8 IPS |
|
|
Style Transfer (HP)
|
100% |
8358
10.7 IPS |
|
|
Style Transfer (Q)
|
98% |
14904
19.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2351
86.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1828
67.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3909
144.7 IPS |
|
|
Text Classification (SP)
|
100% |
1459
1.95 KIPS |
|
|
Text Classification (HP)
|
100% |
736
982.0 IPS |
|
|
Text Classification (Q)
|
97% |
1577
2.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
1758
30.3 IPS |
|
|
Machine Translation (HP)
|
100% |
686
11.8 IPS |
|
|
Machine Translation (Q)
|
65% |
2409
48.4 IPS |
