Generic
Geekbench AI Score
349
Single Precision Score
236
Half Precision Score
513
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| User | ohoel |
| Upload Date | February 01 2025 05:20 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD FX-8300 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Professionnel (64-bit) |
| Model | Generic |
| Motherboard | ASRock 970M Pro3 |
| Power Plan | Performances optimales |
| CPU Information | |
|---|---|
| Name | AMD FX-8300 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | AuthenticAMD Family 21 Model 2 Stepping 0 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
222
41.3 IPS |
|
|
Image Classification (HP)
|
100% |
101
18.8 IPS |
|
|
Image Classification (Q)
|
96% |
471
88.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
167
2.71 IPS |
|
|
Image Segmentation (HP)
|
100% |
147
2.38 IPS |
|
|
Image Segmentation (Q)
|
97% |
332
5.41 IPS |
|
|
Pose Estimation (SP)
|
100% |
456
0.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
463
0.54 IPS |
|
|
Pose Estimation (Q)
|
86% |
754
0.89 IPS |
|
|
Object Detection (SP)
|
100% |
183
14.5 IPS |
|
|
Object Detection (HP)
|
100% |
116
9.20 IPS |
|
|
Object Detection (Q)
|
58% |
324
35.4 IPS |
|
|
Face Detection (SP)
|
100% |
582
6.92 IPS |
|
|
Face Detection (HP)
|
100% |
309
3.67 IPS |
|
|
Face Detection (Q)
|
96% |
929
11.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
605
4.66 IPS |
|
|
Depth Estimation (HP)
|
99% |
359
2.77 IPS |
|
|
Depth Estimation (Q)
|
78% |
871
6.94 IPS |
|
|
Style Transfer (SP)
|
100% |
1299
1.67 IPS |
|
|
Style Transfer (HP)
|
100% |
1270
1.63 IPS |
|
|
Style Transfer (Q)
|
87% |
1770
2.30 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
237
8.77 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
229
8.46 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
371
13.7 IPS |
|
|
Text Classification (SP)
|
100% |
248
330.4 IPS |
|
|
Text Classification (HP)
|
100% |
143
190.8 IPS |
|
|
Text Classification (Q)
|
97% |
141
188.3 IPS |
|
|
Machine Translation (SP)
|
100% |
330
5.69 IPS |
|
|
Machine Translation (HP)
|
100% |
148
2.55 IPS |
|
|
Machine Translation (Q)
|
68% |
444
8.58 IPS |
