To be filled by O.E.M. To be filled by O.E.M.
Geekbench AI Score
327
Single Precision Score
246
Half Precision Score
476
Quantized Score
Geekbench AI 1.1.0 for Windows x86 (64-bit)
Result Information
| Upload Date | November 14 2024 05:04 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD FX-6300 |
| System Information | |
|---|---|
| Operating System | Windows 10 (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 |
| CPU Information | |
|---|---|
| Name | AMD FX-6300 |
| Topology | 1 Processor, 3 Cores, 6 Threads |
| Identifier | AuthenticAMD Family 21 Model 2 Stepping 0 |
| Base Frequency | 5.02 GHz |
| Cluster 1 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 4.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
199
37.0 IPS |
|
|
Image Classification (HP)
|
100% |
115
21.3 IPS |
|
|
Image Classification (Q)
|
96% |
381
71.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
169
2.74 IPS |
|
|
Image Segmentation (HP)
|
100% |
165
2.67 IPS |
|
|
Image Segmentation (Q)
|
97% |
376
6.12 IPS |
|
|
Pose Estimation (SP)
|
100% |
402
0.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
396
0.46 IPS |
|
|
Pose Estimation (Q)
|
87% |
887
1.05 IPS |
|
|
Object Detection (SP)
|
100% |
189
15.0 IPS |
|
|
Object Detection (HP)
|
100% |
122
9.70 IPS |
|
|
Object Detection (Q)
|
90% |
260
20.8 IPS |
|
|
Face Detection (SP)
|
100% |
460
5.46 IPS |
|
|
Face Detection (HP)
|
100% |
337
4.01 IPS |
|
|
Face Detection (Q)
|
96% |
759
9.05 IPS |
|
|
Depth Estimation (SP)
|
100% |
522
4.02 IPS |
|
|
Depth Estimation (HP)
|
99% |
365
2.81 IPS |
|
|
Depth Estimation (Q)
|
78% |
653
5.21 IPS |
|
|
Style Transfer (SP)
|
100% |
1167
1.50 IPS |
|
|
Style Transfer (HP)
|
100% |
1105
1.42 IPS |
|
|
Style Transfer (Q)
|
87% |
1868
2.43 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
225
8.31 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
214
7.90 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
408
15.1 IPS |
|
|
Text Classification (SP)
|
100% |
247
330.0 IPS |
|
|
Text Classification (HP)
|
100% |
164
218.4 IPS |
|
|
Text Classification (Q)
|
97% |
167
223.9 IPS |
|
|
Machine Translation (SP)
|
100% |
352
6.07 IPS |
|
|
Machine Translation (HP)
|
100% |
192
3.31 IPS |
|
|
Machine Translation (Q)
|
60% |
288
6.42 IPS |
