System manufacturer System Product Name
Geekbench AI Score
357
Single Precision Score
276
Half Precision Score
460
Quantized Score
Geekbench AI 1.1.0 for Windows x86 (64-bit)
Result Information
| Upload Date | September 29 2024 10:56 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD FX-6300 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Enterprise 2016 LTSB (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK Computer INC. M5A78L-M LX |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD FX-6300 |
| Topology | 1 Processor, 3 Cores, 6 Threads |
| Identifier | AuthenticAMD Family 21 Model 2 Stepping 0 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
190
35.4 IPS |
|
|
Image Classification (HP)
|
100% |
124
23.1 IPS |
|
|
Image Classification (Q)
|
96% |
354
66.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
167
2.70 IPS |
|
|
Image Segmentation (HP)
|
100% |
178
2.89 IPS |
|
|
Image Segmentation (Q)
|
97% |
379
6.16 IPS |
|
|
Pose Estimation (SP)
|
100% |
483
0.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
486
0.57 IPS |
|
|
Pose Estimation (Q)
|
87% |
901
1.06 IPS |
|
|
Object Detection (SP)
|
100% |
207
16.4 IPS |
|
|
Object Detection (HP)
|
100% |
143
11.3 IPS |
|
|
Object Detection (Q)
|
90% |
286
22.9 IPS |
|
|
Face Detection (SP)
|
100% |
440
5.23 IPS |
|
|
Face Detection (HP)
|
100% |
353
4.20 IPS |
|
|
Face Detection (Q)
|
96% |
698
8.33 IPS |
|
|
Depth Estimation (SP)
|
100% |
611
4.71 IPS |
|
|
Depth Estimation (HP)
|
99% |
418
3.22 IPS |
|
|
Depth Estimation (Q)
|
78% |
609
4.87 IPS |
|
|
Style Transfer (SP)
|
100% |
1359
1.75 IPS |
|
|
Style Transfer (HP)
|
100% |
1271
1.63 IPS |
|
|
Style Transfer (Q)
|
87% |
1868
2.43 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
260
9.59 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
259
9.56 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
405
15.0 IPS |
|
|
Text Classification (SP)
|
100% |
303
404.8 IPS |
|
|
Text Classification (HP)
|
100% |
176
235.5 IPS |
|
|
Text Classification (Q)
|
97% |
147
196.6 IPS |
|
|
Machine Translation (SP)
|
100% |
369
6.35 IPS |
|
|
Machine Translation (HP)
|
100% |
201
3.46 IPS |
|
|
Machine Translation (Q)
|
60% |
263
5.87 IPS |
