System manufacturer Maximus II Formula
Geekbench AI Score
166
Single Precision Score
157
Half Precision Score
246
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| Upload Date | December 02 2025 12:09 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Celeron E3200 |
| 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 E3200 |
| Topology | 1 Processor, 2 Cores |
| Identifier | GenuineIntel Family 6 Model 23 Stepping 10 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Type | DDR |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
95
17.7 IPS |
|
|
Image Classification (HP)
|
100% |
76
14.1 IPS |
|
|
Image Classification (Q)
|
99% |
164
30.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
89
1.45 IPS |
|
|
Image Segmentation (HP)
|
100% |
98
1.58 IPS |
|
|
Image Segmentation (Q)
|
98% |
162
2.63 IPS |
|
|
Pose Estimation (SP)
|
100% |
178
0.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
252
0.29 IPS |
|
|
Pose Estimation (Q)
|
94% |
346
0.41 IPS |
|
|
Object Detection (SP)
|
100% |
92
7.26 IPS |
|
|
Object Detection (HP)
|
100% |
83
6.54 IPS |
|
|
Object Detection (Q)
|
86% |
158
12.7 IPS |
|
|
Face Detection (SP)
|
100% |
270
3.20 IPS |
|
|
Face Detection (HP)
|
100% |
188
2.23 IPS |
|
|
Face Detection (Q)
|
97% |
432
5.15 IPS |
|
|
Depth Estimation (SP)
|
100% |
248
1.91 IPS |
|
|
Depth Estimation (HP)
|
99% |
237
1.83 IPS |
|
|
Depth Estimation (Q)
|
78% |
379
3.01 IPS |
|
|
Style Transfer (SP)
|
100% |
490
0.63 IPS |
|
|
Style Transfer (HP)
|
100% |
693
0.89 IPS |
|
|
Style Transfer (Q)
|
98% |
746
0.96 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
107
3.93 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
144
5.31 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
197
7.30 IPS |
|
|
Text Classification (SP)
|
100% |
179
238.8 IPS |
|
|
Text Classification (HP)
|
100% |
123
164.3 IPS |
|
|
Text Classification (Q)
|
97% |
141
188.4 IPS |
|
|
Machine Translation (SP)
|
100% |
184
3.16 IPS |
|
|
Machine Translation (HP)
|
100% |
110
1.90 IPS |
|
|
Machine Translation (Q)
|
65% |
167
3.36 IPS |
