System manufacturer Maximus II Formula
Geekbench AI Score
57
Single Precision Score
55
Half Precision Score
87
Quantized Score
Geekbench AI 1.3.0 for Windows x86 (64-bit)
Result Information
| Upload Date | April 19 2025 09:36 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Pentium 4 531/630 |
| 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 4 531/630 |
| Topology | 1 Processor, 1 Core, 2 Threads |
| Identifier | GenuineIntel Family 15 Model 6 Stepping 5 |
| Base Frequency | 4.77 GHz |
| Cluster 1 | 1 Core |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Type | DDR |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
31
5.72 IPS |
|
|
Image Classification (HP)
|
100% |
29
5.37 IPS |
|
|
Image Classification (Q)
|
99% |
55
10.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
38
0.62 IPS |
|
|
Image Segmentation (HP)
|
100% |
40
0.65 IPS |
|
|
Image Segmentation (Q)
|
98% |
61
1.00 IPS |
|
|
Pose Estimation (SP)
|
100% |
56
0.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
65
0.08 IPS |
|
|
Pose Estimation (Q)
|
94% |
102
0.12 IPS |
|
|
Object Detection (SP)
|
100% |
30
2.35 IPS |
|
|
Object Detection (HP)
|
100% |
30
2.37 IPS |
|
|
Object Detection (Q)
|
86% |
53
4.25 IPS |
|
|
Face Detection (SP)
|
100% |
106
1.25 IPS |
|
|
Face Detection (HP)
|
100% |
81
0.96 IPS |
|
|
Face Detection (Q)
|
97% |
164
1.96 IPS |
|
|
Depth Estimation (SP)
|
100% |
82
0.63 IPS |
|
|
Depth Estimation (HP)
|
99% |
79
0.61 IPS |
|
|
Depth Estimation (Q)
|
78% |
131
1.04 IPS |
|
|
Style Transfer (SP)
|
100% |
159
0.20 IPS |
|
|
Style Transfer (HP)
|
100% |
187
0.24 IPS |
|
|
Style Transfer (Q)
|
98% |
262
0.34 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
36
1.33 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40
1.49 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
62
2.30 IPS |
|
|
Text Classification (SP)
|
100% |
54
71.5 IPS |
|
|
Text Classification (HP)
|
100% |
44
59.1 IPS |
|
|
Text Classification (Q)
|
97% |
57
76.1 IPS |
|
|
Machine Translation (SP)
|
100% |
72
1.25 IPS |
|
|
Machine Translation (HP)
|
100% |
54
0.93 IPS |
|
|
Machine Translation (Q)
|
65% |
77
1.54 IPS |
