Gigabyte Technology Co., Ltd. To be filled by O.E.M.
Geekbench AI Score
457
Single Precision Score
457
Half Precision Score
971
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| Upload Date | January 04 2025 12:32 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD FX(tm)-8320 Eight-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. To be filled by O.E.M. |
| Motherboard | Gigabyte Technology Co., Ltd. 970A-DS3P |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD FX-8320 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | AuthenticAMD Family 21 Model 2 Stepping 0 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
252
46.9 IPS |
|
|
Image Classification (HP)
|
100% |
250
46.6 IPS |
|
|
Image Classification (Q)
|
100% |
680
126.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
353
5.73 IPS |
|
|
Image Segmentation (HP)
|
100% |
354
5.74 IPS |
|
|
Image Segmentation (Q)
|
99% |
531
8.63 IPS |
|
|
Pose Estimation (SP)
|
100% |
487
0.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
488
0.57 IPS |
|
|
Pose Estimation (Q)
|
94% |
1497
1.76 IPS |
|
|
Object Detection (SP)
|
100% |
252
20.0 IPS |
|
|
Object Detection (HP)
|
100% |
252
20.0 IPS |
|
|
Object Detection (Q)
|
87% |
667
53.5 IPS |
|
|
Face Detection (SP)
|
100% |
814
9.67 IPS |
|
|
Face Detection (HP)
|
100% |
822
9.77 IPS |
|
|
Face Detection (Q)
|
97% |
1831
21.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
741
5.71 IPS |
|
|
Depth Estimation (HP)
|
99% |
741
5.71 IPS |
|
|
Depth Estimation (Q)
|
81% |
1722
13.6 IPS |
|
|
Style Transfer (SP)
|
100% |
1200
1.54 IPS |
|
|
Style Transfer (HP)
|
100% |
1200
1.54 IPS |
|
|
Style Transfer (Q)
|
98% |
4404
5.68 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
345
12.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
344
12.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
900
33.3 IPS |
|
|
Text Classification (SP)
|
100% |
376
501.8 IPS |
|
|
Text Classification (HP)
|
100% |
375
501.2 IPS |
|
|
Text Classification (Q)
|
91% |
425
571.6 IPS |
|
|
Machine Translation (SP)
|
100% |
391
6.74 IPS |
|
|
Machine Translation (HP)
|
100% |
392
6.74 IPS |
|
|
Machine Translation (Q)
|
100% |
392
6.75 IPS |
