Gigabyte Technology Co., Ltd. GA-990FXA-UD3
Geekbench AI Score
291
Single Precision Score
290
Half Precision Score
591
Quantized Score
Geekbench AI 1.3.0 for Windows x86 (64-bit)
Result Information
| User | MasterofFuppets |
| Upload Date | June 07 2025 07:45 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD FX(tm)-6300 Six-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 IoT Enterprise LTSC (64-bit) |
| Model | Gigabyte Technology Co., Ltd. GA-990FXA-UD3 |
| Motherboard | Gigabyte Technology Co., Ltd. GA-990FXA-UD3 |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | AMD FX-6300 |
| Topology | 1 Processor, 3 Cores, 6 Threads |
| Identifier | AuthenticAMD Family 21 Model 2 Stepping 0 |
| Base Frequency | 4.90 GHz |
| Cluster 1 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
156
28.9 IPS |
|
|
Image Classification (HP)
|
100% |
155
28.8 IPS |
|
|
Image Classification (Q)
|
100% |
374
69.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
217
3.52 IPS |
|
|
Image Segmentation (HP)
|
100% |
215
3.49 IPS |
|
|
Image Segmentation (Q)
|
99% |
339
5.51 IPS |
|
|
Pose Estimation (SP)
|
100% |
303
0.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
301
0.35 IPS |
|
|
Pose Estimation (Q)
|
94% |
837
0.98 IPS |
|
|
Object Detection (SP)
|
100% |
154
12.2 IPS |
|
|
Object Detection (HP)
|
100% |
154
12.2 IPS |
|
|
Object Detection (Q)
|
87% |
384
30.8 IPS |
|
|
Face Detection (SP)
|
100% |
503
5.98 IPS |
|
|
Face Detection (HP)
|
100% |
505
6.00 IPS |
|
|
Face Detection (Q)
|
97% |
1078
12.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
445
3.43 IPS |
|
|
Depth Estimation (HP)
|
99% |
447
3.45 IPS |
|
|
Depth Estimation (Q)
|
81% |
983
7.76 IPS |
|
|
Style Transfer (SP)
|
100% |
797
1.02 IPS |
|
|
Style Transfer (HP)
|
100% |
786
1.01 IPS |
|
|
Style Transfer (Q)
|
98% |
2509
3.24 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
205
7.56 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
205
7.58 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
505
18.7 IPS |
|
|
Text Classification (SP)
|
100% |
250
333.6 IPS |
|
|
Text Classification (HP)
|
100% |
247
330.1 IPS |
|
|
Text Classification (Q)
|
91% |
319
428.7 IPS |
|
|
Machine Translation (SP)
|
100% |
303
5.22 IPS |
|
|
Machine Translation (HP)
|
100% |
305
5.25 IPS |
|
|
Machine Translation (Q)
|
100% |
301
5.19 IPS |
