System manufacturer Maximus II Formula
Geekbench AI Score
59
Single Precision Score
57
Half Precision Score
91
Quantized Score
Geekbench AI 1.3.0 for Windows x86 (64-bit)
Result Information
| Upload Date | April 24 2025 12:35 PM |
| Views | 13 |
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 | 5.01 GHz |
| Cluster 1 | 1 Core |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Type | DDR |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
32
6.00 IPS |
|
|
Image Classification (HP)
|
100% |
30
5.65 IPS |
|
|
Image Classification (Q)
|
99% |
58
10.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
40
0.65 IPS |
|
|
Image Segmentation (HP)
|
100% |
42
0.68 IPS |
|
|
Image Segmentation (Q)
|
98% |
64
1.05 IPS |
|
|
Pose Estimation (SP)
|
100% |
59
0.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
68
0.08 IPS |
|
|
Pose Estimation (Q)
|
94% |
106
0.12 IPS |
|
|
Object Detection (SP)
|
100% |
31
2.47 IPS |
|
|
Object Detection (HP)
|
100% |
32
2.51 IPS |
|
|
Object Detection (Q)
|
86% |
55
4.45 IPS |
|
|
Face Detection (SP)
|
100% |
111
1.31 IPS |
|
|
Face Detection (HP)
|
100% |
85
1.01 IPS |
|
|
Face Detection (Q)
|
97% |
172
2.06 IPS |
|
|
Depth Estimation (SP)
|
100% |
86
0.66 IPS |
|
|
Depth Estimation (HP)
|
99% |
83
0.64 IPS |
|
|
Depth Estimation (Q)
|
78% |
137
1.09 IPS |
|
|
Style Transfer (SP)
|
100% |
167
0.21 IPS |
|
|
Style Transfer (HP)
|
100% |
196
0.25 IPS |
|
|
Style Transfer (Q)
|
98% |
274
0.35 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
38
1.40 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42
1.57 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
65
2.42 IPS |
|
|
Text Classification (SP)
|
100% |
56
75.0 IPS |
|
|
Text Classification (HP)
|
100% |
46
62.1 IPS |
|
|
Text Classification (Q)
|
97% |
59
79.5 IPS |
|
|
Machine Translation (SP)
|
100% |
76
1.30 IPS |
|
|
Machine Translation (HP)
|
100% |
56
0.97 IPS |
|
|
Machine Translation (Q)
|
65% |
81
1.62 IPS |
