System manufacturer Maximus II Formula
Geekbench AI Score
93
Single Precision Score
79
Half Precision Score
133
Quantized Score
Geekbench AI 1.3.0 for Windows x86 (64-bit)
Result Information
| Upload Date | July 10 2025 08:36 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Pentium D 820/915/920 |
| 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 Pentium D 820/915/920 |
| Topology | 1 Processor, 2 Cores |
| Identifier | GenuineIntel Family 15 Model 6 Stepping 2 |
| Base Frequency | 4.06 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Type | DDR |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
51
9.57 IPS |
|
|
Image Classification (HP)
|
100% |
39
7.25 IPS |
|
|
Image Classification (Q)
|
99% |
87
16.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
59
0.96 IPS |
|
|
Image Segmentation (HP)
|
100% |
55
0.89 IPS |
|
|
Image Segmentation (Q)
|
98% |
91
1.47 IPS |
|
|
Pose Estimation (SP)
|
100% |
95
0.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
109
0.13 IPS |
|
|
Pose Estimation (Q)
|
94% |
173
0.20 IPS |
|
|
Object Detection (SP)
|
100% |
50
3.93 IPS |
|
|
Object Detection (HP)
|
100% |
42
3.35 IPS |
|
|
Object Detection (Q)
|
86% |
84
6.73 IPS |
|
|
Face Detection (SP)
|
100% |
174
2.07 IPS |
|
|
Face Detection (HP)
|
100% |
112
1.33 IPS |
|
|
Face Detection (Q)
|
97% |
268
3.19 IPS |
|
|
Depth Estimation (SP)
|
100% |
137
1.06 IPS |
|
|
Depth Estimation (HP)
|
99% |
117
0.90 IPS |
|
|
Depth Estimation (Q)
|
78% |
210
1.67 IPS |
|
|
Style Transfer (SP)
|
100% |
267
0.34 IPS |
|
|
Style Transfer (HP)
|
100% |
313
0.40 IPS |
|
|
Style Transfer (Q)
|
98% |
438
0.57 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
60
2.20 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
66
2.45 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
103
3.83 IPS |
|
|
Text Classification (SP)
|
100% |
84
111.5 IPS |
|
|
Text Classification (HP)
|
100% |
59
79.4 IPS |
|
|
Text Classification (Q)
|
97% |
70
93.9 IPS |
|
|
Machine Translation (SP)
|
100% |
109
1.89 IPS |
|
|
Machine Translation (HP)
|
100% |
66
1.13 IPS |
|
|
Machine Translation (Q)
|
65% |
88
1.76 IPS |
