System manufacturer Maximus II Formula
Geekbench AI Score
79
Single Precision Score
75
Half Precision Score
126
Quantized Score
Geekbench AI 1.3.0 for Windows x86 (64-bit)
Result Information
| Upload Date | October 06 2025 05:00 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Pentium D 840/935/940 |
| 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 840/935/940 |
| Topology | 1 Processor, 2 Cores |
| Identifier | GenuineIntel Family 15 Model 6 Stepping 4 |
| Base Frequency | 4.56 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Type | DDR |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
54
9.98 IPS |
|
|
Image Classification (HP)
|
100% |
40
7.52 IPS |
|
|
Image Classification (Q)
|
99% |
86
16.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
53
0.85 IPS |
|
|
Image Segmentation (HP)
|
100% |
54
0.87 IPS |
|
|
Image Segmentation (Q)
|
98% |
95
1.54 IPS |
|
|
Pose Estimation (SP)
|
100% |
83
0.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
104
0.12 IPS |
|
|
Pose Estimation (Q)
|
94% |
152
0.18 IPS |
|
|
Object Detection (SP)
|
100% |
39
3.08 IPS |
|
|
Object Detection (HP)
|
100% |
39
3.11 IPS |
|
|
Object Detection (Q)
|
86% |
77
6.22 IPS |
|
|
Face Detection (SP)
|
100% |
138
1.64 IPS |
|
|
Face Detection (HP)
|
100% |
104
1.23 IPS |
|
|
Face Detection (Q)
|
97% |
248
2.96 IPS |
|
|
Depth Estimation (SP)
|
100% |
110
0.85 IPS |
|
|
Depth Estimation (HP)
|
99% |
105
0.81 IPS |
|
|
Depth Estimation (Q)
|
78% |
193
1.54 IPS |
|
|
Style Transfer (SP)
|
100% |
222
0.29 IPS |
|
|
Style Transfer (HP)
|
100% |
285
0.37 IPS |
|
|
Style Transfer (Q)
|
98% |
399
0.51 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
47
1.74 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
58
2.15 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
93
3.44 IPS |
|
|
Text Classification (SP)
|
100% |
78
104.1 IPS |
|
|
Text Classification (HP)
|
100% |
58
77.7 IPS |
|
|
Text Classification (Q)
|
97% |
71
94.7 IPS |
|
|
Machine Translation (SP)
|
100% |
91
1.57 IPS |
|
|
Machine Translation (HP)
|
100% |
62
1.06 IPS |
|
|
Machine Translation (Q)
|
65% |
86
1.74 IPS |
