To be filled by O.E.M. To be filled by O.E.M.
Geekbench AI Score
366
Single Precision Score
249
Half Precision Score
567
Quantized Score
Geekbench AI 1.3.0 for Windows x86 (64-bit)
Result Information
| User | ToniCH |
| Upload Date | May 17 2025 09:00 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD FX-8320 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | To be filled by O.E.M. To be filled by O.E.M. |
| Motherboard | ASUSTeK COMPUTER INC. SABERTOOTH 990FX R2.0 |
| Power Plan | Tasapainotettu |
| CPU Information | |
|---|---|
| Name | AMD FX-8320 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | AuthenticAMD Family 21 Model 2 Stepping 0 |
| Base Frequency | 4.01 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
224
41.6 IPS |
|
|
Image Classification (HP)
|
100% |
102
19.0 IPS |
|
|
Image Classification (Q)
|
96% |
463
86.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
154
2.50 IPS |
|
|
Image Segmentation (HP)
|
100% |
158
2.56 IPS |
|
|
Image Segmentation (Q)
|
97% |
381
6.19 IPS |
|
|
Pose Estimation (SP)
|
100% |
492
0.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
486
0.57 IPS |
|
|
Pose Estimation (Q)
|
86% |
961
1.14 IPS |
|
|
Object Detection (SP)
|
100% |
223
17.7 IPS |
|
|
Object Detection (HP)
|
100% |
122
9.67 IPS |
|
|
Object Detection (Q)
|
58% |
345
37.7 IPS |
|
|
Face Detection (SP)
|
100% |
591
7.03 IPS |
|
|
Face Detection (HP)
|
100% |
327
3.89 IPS |
|
|
Face Detection (Q)
|
96% |
994
11.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
629
4.85 IPS |
|
|
Depth Estimation (HP)
|
99% |
385
2.97 IPS |
|
|
Depth Estimation (Q)
|
78% |
940
7.48 IPS |
|
|
Style Transfer (SP)
|
100% |
1411
1.81 IPS |
|
|
Style Transfer (HP)
|
100% |
1318
1.69 IPS |
|
|
Style Transfer (Q)
|
87% |
1882
2.45 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
249
9.18 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
240
8.85 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
394
14.6 IPS |
|
|
Text Classification (SP)
|
100% |
246
328.1 IPS |
|
|
Text Classification (HP)
|
100% |
150
199.6 IPS |
|
|
Text Classification (Q)
|
97% |
158
212.2 IPS |
|
|
Machine Translation (SP)
|
100% |
360
6.21 IPS |
|
|
Machine Translation (HP)
|
100% |
166
2.87 IPS |
|
|
Machine Translation (Q)
|
68% |
538
10.4 IPS |
