To be filled by O.E.M. To be filled by O.E.M.
Geekbench AI Score
279
Single Precision Score
199
Half Precision Score
439
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| User | kot-ubitsa |
| Upload Date | September 15 2025 07:28 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD FX-6200 |
| System Information | |
|---|---|
| Operating System | Windows 10 LTSC (64-bit) |
| Model | To be filled by O.E.M. To be filled by O.E.M. |
| Motherboard | ASUSTeK COMPUTER INC. M5A99FX PRO R2.0 |
| CPU Information | |
|---|---|
| Name | AMD FX-6200 |
| Topology | 1 Processor, 3 Cores, 6 Threads |
| Identifier | AuthenticAMD Family 21 Model 1 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
175
32.5 IPS |
|
|
Image Classification (HP)
|
100% |
93
17.2 IPS |
|
|
Image Classification (Q)
|
96% |
350
65.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
130
2.11 IPS |
|
|
Image Segmentation (HP)
|
100% |
128
2.07 IPS |
|
|
Image Segmentation (Q)
|
97% |
279
4.54 IPS |
|
|
Pose Estimation (SP)
|
100% |
350
0.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
329
0.38 IPS |
|
|
Pose Estimation (Q)
|
86% |
726
0.86 IPS |
|
|
Object Detection (SP)
|
100% |
165
13.1 IPS |
|
|
Object Detection (HP)
|
100% |
106
8.40 IPS |
|
|
Object Detection (Q)
|
58% |
258
28.2 IPS |
|
|
Face Detection (SP)
|
100% |
470
5.58 IPS |
|
|
Face Detection (HP)
|
100% |
279
3.31 IPS |
|
|
Face Detection (Q)
|
96% |
765
9.13 IPS |
|
|
Depth Estimation (SP)
|
100% |
472
3.64 IPS |
|
|
Depth Estimation (HP)
|
99% |
292
2.25 IPS |
|
|
Depth Estimation (Q)
|
78% |
744
5.93 IPS |
|
|
Style Transfer (SP)
|
100% |
1003
1.29 IPS |
|
|
Style Transfer (HP)
|
100% |
919
1.18 IPS |
|
|
Style Transfer (Q)
|
87% |
1494
1.94 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
183
6.75 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
173
6.39 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
314
11.6 IPS |
|
|
Text Classification (SP)
|
100% |
196
262.0 IPS |
|
|
Text Classification (HP)
|
100% |
127
169.1 IPS |
|
|
Text Classification (Q)
|
97% |
131
174.9 IPS |
|
|
Machine Translation (SP)
|
100% |
279
4.80 IPS |
|
|
Machine Translation (HP)
|
100% |
143
2.47 IPS |
|
|
Machine Translation (Q)
|
68% |
422
8.14 IPS |
