System manufacturer Maximus II Formula
Geekbench AI Score
66
Single Precision Score
71
Half Precision Score
108
Quantized Score
Geekbench AI 1.3.0 for Windows x86 (64-bit)
Result Information
| Upload Date | May 27 2025 05:48 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Celeron 430 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Professionnel (64-bit) |
| Model | System manufacturer Maximus II Formula |
| Motherboard | ASUSTeK Computer INC. Maximus II Formula |
| Power Plan | Atlas Power Scheme |
| CPU Information | |
|---|---|
| Name | Intel Celeron 430 |
| Topology | 1 Processor, 1 Core |
| Identifier | GenuineIntel Family 6 Model 22 Stepping 1 |
| Base Frequency | 3.24 GHz |
| Cluster 1 | 1 Core |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Type | DDR |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
37
6.93 IPS |
|
|
Image Classification (HP)
|
100% |
38
7.07 IPS |
|
|
Image Classification (Q)
|
99% |
67
12.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
38
0.62 IPS |
|
|
Image Segmentation (HP)
|
100% |
49
0.79 IPS |
|
|
Image Segmentation (Q)
|
98% |
69
1.13 IPS |
|
|
Pose Estimation (SP)
|
100% |
66
0.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
90
0.10 IPS |
|
|
Pose Estimation (Q)
|
94% |
133
0.16 IPS |
|
|
Object Detection (SP)
|
100% |
37
2.94 IPS |
|
|
Object Detection (HP)
|
100% |
40
3.16 IPS |
|
|
Object Detection (Q)
|
86% |
64
5.17 IPS |
|
|
Face Detection (SP)
|
100% |
113
1.35 IPS |
|
|
Face Detection (HP)
|
100% |
98
1.17 IPS |
|
|
Face Detection (Q)
|
97% |
189
2.25 IPS |
|
|
Depth Estimation (SP)
|
100% |
91
0.70 IPS |
|
|
Depth Estimation (HP)
|
99% |
103
0.80 IPS |
|
|
Depth Estimation (Q)
|
78% |
157
1.25 IPS |
|
|
Style Transfer (SP)
|
100% |
184
0.24 IPS |
|
|
Style Transfer (HP)
|
100% |
243
0.31 IPS |
|
|
Style Transfer (Q)
|
98% |
326
0.42 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
42
1.53 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
54
2.00 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
79
2.92 IPS |
|
|
Text Classification (SP)
|
100% |
72
95.9 IPS |
|
|
Text Classification (HP)
|
100% |
58
77.4 IPS |
|
|
Text Classification (Q)
|
97% |
71
95.6 IPS |
|
|
Machine Translation (SP)
|
100% |
87
1.50 IPS |
|
|
Machine Translation (HP)
|
100% |
71
1.22 IPS |
|
|
Machine Translation (Q)
|
65% |
102
2.05 IPS |
