To be filled by O.E.M. To be filled by O.E.M.
Geekbench AI Score
352
Single Precision Score
242
Half Precision Score
613
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| Upload Date | December 25 2024 03:43 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD FX-8350 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | To be filled by O.E.M. To be filled by O.E.M. |
| Motherboard | ASUSTeK COMPUTER INC. M5A99X EVO R2.0 |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | AMD FX-8350 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | AuthenticAMD Family 21 Model 2 Stepping 0 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
232
43.2 IPS |
|
|
Image Classification (HP)
|
100% |
102
19.1 IPS |
|
|
Image Classification (Q)
|
96% |
488
91.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
149
2.41 IPS |
|
|
Image Segmentation (HP)
|
100% |
154
2.49 IPS |
|
|
Image Segmentation (Q)
|
97% |
450
7.31 IPS |
|
|
Pose Estimation (SP)
|
100% |
458
0.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
454
0.53 IPS |
|
|
Pose Estimation (Q)
|
86% |
913
1.08 IPS |
|
|
Object Detection (SP)
|
100% |
211
16.7 IPS |
|
|
Object Detection (HP)
|
100% |
120
9.49 IPS |
|
|
Object Detection (Q)
|
58% |
342
37.4 IPS |
|
|
Face Detection (SP)
|
100% |
571
6.78 IPS |
|
|
Face Detection (HP)
|
100% |
324
3.85 IPS |
|
|
Face Detection (Q)
|
96% |
1016
12.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
593
4.57 IPS |
|
|
Depth Estimation (HP)
|
99% |
360
2.77 IPS |
|
|
Depth Estimation (Q)
|
78% |
916
7.29 IPS |
|
|
Style Transfer (SP)
|
100% |
1316
1.69 IPS |
|
|
Style Transfer (HP)
|
100% |
1250
1.61 IPS |
|
|
Style Transfer (Q)
|
87% |
1831
2.38 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
235
8.67 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
228
8.42 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
378
14.0 IPS |
|
|
Text Classification (SP)
|
100% |
251
334.8 IPS |
|
|
Text Classification (HP)
|
100% |
150
200.5 IPS |
|
|
Text Classification (Q)
|
97% |
336
450.2 IPS |
|
|
Machine Translation (SP)
|
100% |
333
5.74 IPS |
|
|
Machine Translation (HP)
|
100% |
162
2.79 IPS |
|
|
Machine Translation (Q)
|
68% |
511
9.87 IPS |
