System manufacturer Maximus II Formula
Geekbench AI Score
106
Single Precision Score
101
Half Precision Score
159
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| Upload Date | December 21 2025 08:06 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Celeron E3400 |
| 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 E3400 |
| Topology | 1 Processor, 2 Cores |
| Identifier | GenuineIntel Family 6 Model 23 Stepping 10 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Type | DDR |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
60
11.2 IPS |
|
|
Image Classification (HP)
|
100% |
49
9.03 IPS |
|
|
Image Classification (Q)
|
99% |
105
19.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
60
0.98 IPS |
|
|
Image Segmentation (HP)
|
100% |
63
1.03 IPS |
|
|
Image Segmentation (Q)
|
98% |
108
1.75 IPS |
|
|
Pose Estimation (SP)
|
100% |
111
0.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
160
0.19 IPS |
|
|
Pose Estimation (Q)
|
94% |
221
0.26 IPS |
|
|
Object Detection (SP)
|
100% |
59
4.66 IPS |
|
|
Object Detection (HP)
|
100% |
53
4.19 IPS |
|
|
Object Detection (Q)
|
86% |
101
8.10 IPS |
|
|
Face Detection (SP)
|
100% |
175
2.08 IPS |
|
|
Face Detection (HP)
|
100% |
121
1.44 IPS |
|
|
Face Detection (Q)
|
97% |
281
3.35 IPS |
|
|
Depth Estimation (SP)
|
100% |
157
1.21 IPS |
|
|
Depth Estimation (HP)
|
99% |
153
1.18 IPS |
|
|
Depth Estimation (Q)
|
78% |
244
1.94 IPS |
|
|
Style Transfer (SP)
|
100% |
310
0.40 IPS |
|
|
Style Transfer (HP)
|
100% |
439
0.56 IPS |
|
|
Style Transfer (Q)
|
98% |
489
0.63 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
68
2.50 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
93
3.43 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
127
4.71 IPS |
|
|
Text Classification (SP)
|
100% |
114
152.2 IPS |
|
|
Text Classification (HP)
|
100% |
79
106.0 IPS |
|
|
Text Classification (Q)
|
97% |
89
118.7 IPS |
|
|
Machine Translation (SP)
|
100% |
121
2.08 IPS |
|
|
Machine Translation (HP)
|
100% |
74
1.27 IPS |
|
|
Machine Translation (Q)
|
65% |
112
2.25 IPS |
