Gigabyte Technology Co., Ltd. To be filled by O.E.M.
Geekbench AI Score
170
Single Precision Score
144
Half Precision Score
271
Quantized Score
Geekbench AI 1.3.0 for Windows x86 (64-bit)
Result Information
| Upload Date | December 04 2025 11:41 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD A4-5300 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | Gigabyte Technology Co., Ltd. To be filled by O.E.M. |
| Motherboard | Gigabyte Technology Co., Ltd. F2A88X-UP4 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD A4-5300 |
| Topology | 1 Processor, 1 Core, 2 Threads |
| Identifier | AuthenticAMD Family 21 Model 16 Stepping 1 |
| Base Frequency | 4.76 GHz |
| Cluster 1 | 1 Core |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
98
18.3 IPS |
|
|
Image Classification (HP)
|
100% |
78
14.5 IPS |
|
|
Image Classification (Q)
|
96% |
202
37.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
63
1.02 IPS |
|
|
Image Segmentation (HP)
|
100% |
71
1.15 IPS |
|
|
Image Segmentation (Q)
|
97% |
141
2.29 IPS |
|
|
Pose Estimation (SP)
|
100% |
202
0.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
205
0.24 IPS |
|
|
Pose Estimation (Q)
|
86% |
374
0.44 IPS |
|
|
Object Detection (SP)
|
100% |
96
7.65 IPS |
|
|
Object Detection (HP)
|
100% |
82
6.52 IPS |
|
|
Object Detection (Q)
|
58% |
138
15.1 IPS |
|
|
Face Detection (SP)
|
100% |
244
2.90 IPS |
|
|
Face Detection (HP)
|
100% |
207
2.46 IPS |
|
|
Face Detection (Q)
|
96% |
428
5.11 IPS |
|
|
Depth Estimation (SP)
|
100% |
272
2.09 IPS |
|
|
Depth Estimation (HP)
|
99% |
216
1.67 IPS |
|
|
Depth Estimation (Q)
|
78% |
409
3.25 IPS |
|
|
Style Transfer (SP)
|
100% |
596
0.77 IPS |
|
|
Style Transfer (HP)
|
100% |
550
0.71 IPS |
|
|
Style Transfer (Q)
|
87% |
794
1.03 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
115
4.23 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
116
4.29 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
201
7.45 IPS |
|
|
Text Classification (SP)
|
100% |
148
197.2 IPS |
|
|
Text Classification (HP)
|
100% |
114
152.0 IPS |
|
|
Text Classification (Q)
|
97% |
141
189.3 IPS |
|
|
Machine Translation (SP)
|
100% |
252
4.34 IPS |
|
|
Machine Translation (HP)
|
100% |
134
2.30 IPS |
|
|
Machine Translation (Q)
|
68% |
378
7.31 IPS |
