System manufacturer Maximus II Formula
Geekbench AI Score
38
Single Precision Score
37
Half Precision Score
59
Quantized Score
Geekbench AI 1.3.0 for Windows x86 (64-bit)
Result Information
| Upload Date | April 22 2025 08:00 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Pentium 4 540/541 |
| 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 4 540/541 |
| Topology | 1 Processor, 1 Core, 2 Threads |
| Identifier | GenuineIntel Family 15 Model 6 Stepping 4 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 1 Core |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Type | DDR |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
21
3.84 IPS |
|
|
Image Classification (HP)
|
100% |
20
3.63 IPS |
|
|
Image Classification (Q)
|
99% |
37
6.95 IPS |
|
|
Image Segmentation (SP)
|
100% |
26
0.42 IPS |
|
|
Image Segmentation (HP)
|
100% |
27
0.44 IPS |
|
|
Image Segmentation (Q)
|
98% |
41
0.67 IPS |
|
|
Pose Estimation (SP)
|
100% |
38
0.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
44
0.05 IPS |
|
|
Pose Estimation (Q)
|
94% |
68
0.08 IPS |
|
|
Object Detection (SP)
|
100% |
20
1.57 IPS |
|
|
Object Detection (HP)
|
100% |
20
1.62 IPS |
|
|
Object Detection (Q)
|
86% |
35
2.85 IPS |
|
|
Face Detection (SP)
|
100% |
71
0.84 IPS |
|
|
Face Detection (HP)
|
100% |
55
0.65 IPS |
|
|
Face Detection (Q)
|
97% |
110
1.32 IPS |
|
|
Depth Estimation (SP)
|
100% |
55
0.42 IPS |
|
|
Depth Estimation (HP)
|
99% |
53
0.41 IPS |
|
|
Depth Estimation (Q)
|
78% |
88
0.70 IPS |
|
|
Style Transfer (SP)
|
100% |
106
0.14 IPS |
|
|
Style Transfer (HP)
|
100% |
126
0.16 IPS |
|
|
Style Transfer (Q)
|
98% |
180
0.23 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24
0.89 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27
1.01 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
42
1.56 IPS |
|
|
Text Classification (SP)
|
100% |
36
48.3 IPS |
|
|
Text Classification (HP)
|
100% |
30
40.0 IPS |
|
|
Text Classification (Q)
|
97% |
38
50.8 IPS |
|
|
Machine Translation (SP)
|
100% |
49
0.85 IPS |
|
|
Machine Translation (HP)
|
100% |
38
0.65 IPS |
|
|
Machine Translation (Q)
|
65% |
53
1.07 IPS |
