System manufacturer System Product Name
Geekbench AI Score
89
Single Precision Score
67
Half Precision Score
134
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| User | StingerYar |
| Upload Date | March 26 2025 09:18 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Celeron G460 |
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. MAXIMUS V EXTREME |
| CPU Information | |
|---|---|
| Name | Intel Celeron G460 |
| Topology | 1 Processor, 1 Core, 2 Threads |
| Identifier | GenuineIntel Family 6 Model 42 Stepping 7 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 1 Core |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
52
9.72 IPS |
|
|
Image Classification (HP)
|
100% |
36
6.61 IPS |
|
|
Image Classification (Q)
|
96% |
90
16.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
60
0.97 IPS |
|
|
Image Segmentation (HP)
|
100% |
49
0.79 IPS |
|
|
Image Segmentation (Q)
|
97% |
81
1.31 IPS |
|
|
Pose Estimation (SP)
|
100% |
91
0.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
79
0.09 IPS |
|
|
Pose Estimation (Q)
|
86% |
172
0.20 IPS |
|
|
Object Detection (SP)
|
100% |
50
3.96 IPS |
|
|
Object Detection (HP)
|
100% |
38
2.99 IPS |
|
|
Object Detection (Q)
|
58% |
63
6.91 IPS |
|
|
Face Detection (SP)
|
100% |
160
1.90 IPS |
|
|
Face Detection (HP)
|
100% |
107
1.27 IPS |
|
|
Face Detection (Q)
|
96% |
218
2.60 IPS |
|
|
Depth Estimation (SP)
|
100% |
126
0.97 IPS |
|
|
Depth Estimation (HP)
|
99% |
96
0.74 IPS |
|
|
Depth Estimation (Q)
|
78% |
205
1.63 IPS |
|
|
Style Transfer (SP)
|
100% |
255
0.33 IPS |
|
|
Style Transfer (HP)
|
100% |
223
0.29 IPS |
|
|
Style Transfer (Q)
|
87% |
415
0.54 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
58
2.13 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49
1.83 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
99
3.66 IPS |
|
|
Text Classification (SP)
|
100% |
61
81.8 IPS |
|
|
Text Classification (HP)
|
100% |
51
67.6 IPS |
|
|
Text Classification (Q)
|
97% |
73
98.3 IPS |
|
|
Machine Translation (SP)
|
100% |
121
2.08 IPS |
|
|
Machine Translation (HP)
|
100% |
66
1.13 IPS |
|
|
Machine Translation (Q)
|
68% |
177
3.41 IPS |
