System manufacturer Maximus II Formula
Geekbench AI Score
167
Single Precision Score
158
Half Precision Score
245
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| Upload Date | December 08 2025 07:50 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Celeron E3300 |
| 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 E3300 |
| Topology | 1 Processor, 2 Cores |
| Identifier | GenuineIntel Family 6 Model 23 Stepping 10 |
| Base Frequency | 2.50 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% |
166
30.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
89
1.44 IPS |
|
|
Image Segmentation (HP)
|
100% |
98
1.58 IPS |
|
|
Image Segmentation (Q)
|
98% |
155
2.53 IPS |
|
|
Pose Estimation (SP)
|
100% |
181
0.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
255
0.30 IPS |
|
|
Pose Estimation (Q)
|
94% |
351
0.41 IPS |
|
|
Object Detection (SP)
|
100% |
93
7.35 IPS |
|
|
Object Detection (HP)
|
100% |
83
6.56 IPS |
|
|
Object Detection (Q)
|
86% |
158
12.7 IPS |
|
|
Face Detection (SP)
|
100% |
272
3.23 IPS |
|
|
Face Detection (HP)
|
100% |
187
2.23 IPS |
|
|
Face Detection (Q)
|
97% |
428
5.10 IPS |
|
|
Depth Estimation (SP)
|
100% |
252
1.94 IPS |
|
|
Depth Estimation (HP)
|
99% |
242
1.86 IPS |
|
|
Depth Estimation (Q)
|
78% |
381
3.03 IPS |
|
|
Style Transfer (SP)
|
100% |
498
0.64 IPS |
|
|
Style Transfer (HP)
|
100% |
701
0.90 IPS |
|
|
Style Transfer (Q)
|
98% |
745
0.96 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
108
3.98 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
145
5.35 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
199
7.36 IPS |
|
|
Text Classification (SP)
|
100% |
181
241.1 IPS |
|
|
Text Classification (HP)
|
100% |
124
165.0 IPS |
|
|
Text Classification (Q)
|
97% |
141
189.3 IPS |
|
|
Machine Translation (SP)
|
100% |
183
3.15 IPS |
|
|
Machine Translation (HP)
|
100% |
110
1.89 IPS |
|
|
Machine Translation (Q)
|
65% |
166
3.34 IPS |
