AMD A4-6300 Generic
Geekbench AI Score
131
Single Precision Score
115
Half Precision Score
213
Quantized Score
Geekbench AI 1.6.0 for Windows x86 (64-bit)
Result Information
| User | almaspite |
| Upload Date | February 07 2026 04:01 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD A4-6300 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Enterprise LTSC (64-bit) |
| Model | Generic |
| Motherboard | ASRock FM2A58M-VG3+ R2.0 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD A4-6300 |
| Topology | 1 Processor, 1 Core, 2 Threads |
| Identifier | AuthenticAMD Family 21 Model 19 Stepping 1 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 1 Core |
| Memory Information | |
|---|---|
| Size | 4.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
69
12.7 IPS |
|
|
Image Classification (HP)
|
100% |
57
10.6 IPS |
|
|
Image Classification (Q)
|
96% |
134
25.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
44
0.71 IPS |
|
|
Image Segmentation (HP)
|
100% |
58
0.95 IPS |
|
|
Image Segmentation (Q)
|
97% |
136
2.22 IPS |
|
|
Pose Estimation (SP)
|
100% |
162
0.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
163
0.19 IPS |
|
|
Pose Estimation (Q)
|
86% |
289
0.34 IPS |
|
|
Object Detection (SP)
|
100% |
76
6.05 IPS |
|
|
Object Detection (HP)
|
100% |
66
5.24 IPS |
|
|
Object Detection (Q)
|
58% |
108
11.8 IPS |
|
|
Face Detection (SP)
|
100% |
183
2.18 IPS |
|
|
Face Detection (HP)
|
100% |
160
1.90 IPS |
|
|
Face Detection (Q)
|
96% |
320
3.82 IPS |
|
|
Depth Estimation (SP)
|
100% |
215
1.66 IPS |
|
|
Depth Estimation (HP)
|
99% |
177
1.36 IPS |
|
|
Depth Estimation (Q)
|
78% |
318
2.53 IPS |
|
|
Style Transfer (SP)
|
100% |
476
0.61 IPS |
|
|
Style Transfer (HP)
|
100% |
441
0.57 IPS |
|
|
Style Transfer (Q)
|
87% |
605
0.79 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
90
3.31 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
91
3.35 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
167
6.20 IPS |
|
|
Text Classification (SP)
|
100% |
129
172.2 IPS |
|
|
Text Classification (HP)
|
100% |
98
130.8 IPS |
|
|
Text Classification (Q)
|
97% |
115
153.6 IPS |
|
|
Machine Translation (SP)
|
100% |
197
3.39 IPS |
|
|
Machine Translation (HP)
|
100% |
105
1.81 IPS |
|
|
Machine Translation (Q)
|
68% |
291
5.61 IPS |
