System manufacturer Maximus II Formula
Geekbench AI Score
62
Single Precision Score
67
Half Precision Score
101
Quantized Score
Geekbench AI 1.3.0 for Windows x86 (64-bit)
Result Information
| Upload Date | May 22 2025 05:08 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Celeron 420 |
| 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 420 |
| Topology | 1 Processor, 1 Core |
| Identifier | GenuineIntel Family 6 Model 22 Stepping 1 |
| Base Frequency | 3.04 GHz |
| Cluster 1 | 1 Core |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Type | DDR |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
35
6.55 IPS |
|
|
Image Classification (HP)
|
100% |
35
6.57 IPS |
|
|
Image Classification (Q)
|
99% |
62
11.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
38
0.61 IPS |
|
|
Image Segmentation (HP)
|
100% |
46
0.74 IPS |
|
|
Image Segmentation (Q)
|
98% |
65
1.06 IPS |
|
|
Pose Estimation (SP)
|
100% |
61
0.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
84
0.10 IPS |
|
|
Pose Estimation (Q)
|
94% |
125
0.15 IPS |
|
|
Object Detection (SP)
|
100% |
34
2.73 IPS |
|
|
Object Detection (HP)
|
100% |
37
2.97 IPS |
|
|
Object Detection (Q)
|
86% |
60
4.84 IPS |
|
|
Face Detection (SP)
|
100% |
104
1.24 IPS |
|
|
Face Detection (HP)
|
100% |
94
1.12 IPS |
|
|
Face Detection (Q)
|
97% |
176
2.10 IPS |
|
|
Depth Estimation (SP)
|
100% |
85
0.66 IPS |
|
|
Depth Estimation (HP)
|
99% |
98
0.75 IPS |
|
|
Depth Estimation (Q)
|
78% |
146
1.16 IPS |
|
|
Style Transfer (SP)
|
100% |
172
0.22 IPS |
|
|
Style Transfer (HP)
|
100% |
236
0.30 IPS |
|
|
Style Transfer (Q)
|
98% |
307
0.40 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
39
1.42 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52
1.92 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
72
2.68 IPS |
|
|
Text Classification (SP)
|
100% |
67
89.4 IPS |
|
|
Text Classification (HP)
|
100% |
54
72.2 IPS |
|
|
Text Classification (Q)
|
97% |
67
89.2 IPS |
|
|
Machine Translation (SP)
|
100% |
82
1.42 IPS |
|
|
Machine Translation (HP)
|
100% |
68
1.17 IPS |
|
|
Machine Translation (Q)
|
65% |
97
1.96 IPS |
