Gigabyte Technology Co., Ltd. To be filled by O.E.M.
Geekbench AI Score
357
Single Precision Score
262
Half Precision Score
531
Quantized Score
Geekbench AI 1.1.0 Corporate for Windows x86 (64-bit)
Result Information
| User | goldenmark |
| Upload Date | October 24 2024 04:04 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD FX-8350 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. To be filled by O.E.M. |
| Motherboard | Gigabyte Technology Co., Ltd. 990XA-UD3 R5 |
| Power Plan | Prestazioni elevate |
| CPU Information | |
|---|---|
| Name | AMD FX-8350 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | AuthenticAMD Family 21 Model 2 Stepping 0 |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
202
37.5 IPS |
|
|
Image Classification (HP)
|
100% |
110
20.4 IPS |
|
|
Image Classification (Q)
|
96% |
386
72.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
162
2.62 IPS |
|
|
Image Segmentation (HP)
|
100% |
167
2.71 IPS |
|
|
Image Segmentation (Q)
|
97% |
480
7.81 IPS |
|
|
Pose Estimation (SP)
|
100% |
527
0.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
521
0.61 IPS |
|
|
Pose Estimation (Q)
|
87% |
1021
1.21 IPS |
|
|
Object Detection (SP)
|
100% |
205
16.3 IPS |
|
|
Object Detection (HP)
|
100% |
126
9.98 IPS |
|
|
Object Detection (Q)
|
90% |
278
22.2 IPS |
|
|
Face Detection (SP)
|
100% |
441
5.24 IPS |
|
|
Face Detection (HP)
|
100% |
328
3.90 IPS |
|
|
Face Detection (Q)
|
96% |
720
8.59 IPS |
|
|
Depth Estimation (SP)
|
100% |
607
4.68 IPS |
|
|
Depth Estimation (HP)
|
99% |
399
3.08 IPS |
|
|
Depth Estimation (Q)
|
78% |
706
5.64 IPS |
|
|
Style Transfer (SP)
|
100% |
1482
1.90 IPS |
|
|
Style Transfer (HP)
|
100% |
1400
1.80 IPS |
|
|
Style Transfer (Q)
|
87% |
1976
2.57 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
262
9.66 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
258
9.51 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
418
15.5 IPS |
|
|
Text Classification (SP)
|
100% |
259
345.3 IPS |
|
|
Text Classification (HP)
|
100% |
161
215.0 IPS |
|
|
Text Classification (Q)
|
97% |
310
415.8 IPS |
|
|
Machine Translation (SP)
|
100% |
357
6.15 IPS |
|
|
Machine Translation (HP)
|
100% |
172
2.96 IPS |
|
|
Machine Translation (Q)
|
60% |
261
5.82 IPS |
