Gigabyte Technology Co., Ltd. To be filled by O.E.M.
Geekbench AI Score
414
Single Precision Score
271
Half Precision Score
616
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| Upload Date | December 19 2024 09:34 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD FX-6300 |
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. To be filled by O.E.M. |
| Motherboard | Gigabyte Technology Co., Ltd. 990FXA-UD3 |
| CPU Information | |
|---|---|
| Name | AMD FX-6300 |
| Topology | 1 Processor, 3 Cores, 6 Threads |
| Identifier | AuthenticAMD Family 21 Model 2 Stepping 0 |
| Base Frequency | 5.03 GHz |
| Cluster 1 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 4.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
278
51.7 IPS |
|
|
Image Classification (HP)
|
100% |
145
27.0 IPS |
|
|
Image Classification (Q)
|
96% |
514
96.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
192
3.11 IPS |
|
|
Image Segmentation (HP)
|
100% |
173
2.81 IPS |
|
|
Image Segmentation (Q)
|
97% |
415
6.74 IPS |
|
|
Pose Estimation (SP)
|
100% |
473
0.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
435
0.51 IPS |
|
|
Pose Estimation (Q)
|
86% |
974
1.15 IPS |
|
|
Object Detection (SP)
|
100% |
253
20.0 IPS |
|
|
Object Detection (HP)
|
100% |
139
11.0 IPS |
|
|
Object Detection (Q)
|
58% |
375
41.0 IPS |
|
|
Face Detection (SP)
|
100% |
673
8.00 IPS |
|
|
Face Detection (HP)
|
100% |
376
4.46 IPS |
|
|
Face Detection (Q)
|
96% |
1056
12.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
687
5.29 IPS |
|
|
Depth Estimation (HP)
|
99% |
395
3.04 IPS |
|
|
Depth Estimation (Q)
|
78% |
983
7.83 IPS |
|
|
Style Transfer (SP)
|
100% |
1409
1.81 IPS |
|
|
Style Transfer (HP)
|
100% |
1230
1.58 IPS |
|
|
Style Transfer (Q)
|
87% |
1941
2.53 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
276
10.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
231
8.54 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
436
16.2 IPS |
|
|
Text Classification (SP)
|
100% |
301
401.7 IPS |
|
|
Text Classification (HP)
|
100% |
174
231.6 IPS |
|
|
Text Classification (Q)
|
97% |
189
253.8 IPS |
|
|
Machine Translation (SP)
|
100% |
431
7.43 IPS |
|
|
Machine Translation (HP)
|
100% |
196
3.38 IPS |
|
|
Machine Translation (Q)
|
68% |
610
11.8 IPS |
