System manufacturer Maximus II Formula
Geekbench AI Score
121
Single Precision Score
109
Half Precision Score
174
Quantized Score
Geekbench AI 1.3.0 for Windows x86 (64-bit)
Result Information
| Upload Date | November 20 2025 08:18 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Celeron E1200 |
| 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 E1200 |
| Topology | 1 Processor, 2 Cores |
| Identifier | GenuineIntel Family 6 Model 15 Stepping 13 |
| Base Frequency | 1.60 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 4.00 GB |
| Type | DDR |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
69
12.8 IPS |
|
|
Image Classification (HP)
|
100% |
55
10.2 IPS |
|
|
Image Classification (Q)
|
99% |
108
20.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
66
1.07 IPS |
|
|
Image Segmentation (HP)
|
100% |
75
1.21 IPS |
|
|
Image Segmentation (Q)
|
98% |
114
1.86 IPS |
|
|
Pose Estimation (SP)
|
100% |
128
0.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
157
0.18 IPS |
|
|
Pose Estimation (Q)
|
94% |
242
0.28 IPS |
|
|
Object Detection (SP)
|
100% |
67
5.30 IPS |
|
|
Object Detection (HP)
|
100% |
56
4.47 IPS |
|
|
Object Detection (Q)
|
86% |
107
8.63 IPS |
|
|
Face Detection (SP)
|
100% |
209
2.49 IPS |
|
|
Face Detection (HP)
|
100% |
136
1.61 IPS |
|
|
Face Detection (Q)
|
97% |
322
3.84 IPS |
|
|
Depth Estimation (SP)
|
100% |
181
1.40 IPS |
|
|
Depth Estimation (HP)
|
99% |
160
1.23 IPS |
|
|
Depth Estimation (Q)
|
78% |
260
2.07 IPS |
|
|
Style Transfer (SP)
|
100% |
355
0.46 IPS |
|
|
Style Transfer (HP)
|
100% |
446
0.57 IPS |
|
|
Style Transfer (Q)
|
98% |
555
0.72 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
78
2.88 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
96
3.55 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
135
4.99 IPS |
|
|
Text Classification (SP)
|
100% |
121
161.6 IPS |
|
|
Text Classification (HP)
|
100% |
82
109.4 IPS |
|
|
Text Classification (Q)
|
97% |
97
130.1 IPS |
|
|
Machine Translation (SP)
|
100% |
139
2.39 IPS |
|
|
Machine Translation (HP)
|
100% |
92
1.58 IPS |
|
|
Machine Translation (Q)
|
65% |
132
2.64 IPS |
