System manufacturer System Product Name
Geekbench AI Score
262
Single Precision Score
191
Half Precision Score
405
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| User | Cifra45 |
| Upload Date | January 24 2025 10:58 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD FX-6300 |
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK Computer INC. M5A78L-M/USB3 |
| CPU Information | |
|---|---|
| Name | AMD FX-6300 |
| Topology | 1 Processor, 3 Cores, 6 Threads |
| Identifier | AuthenticAMD Family 21 Model 2 Stepping 0 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
159
29.5 IPS |
|
|
Image Classification (HP)
|
100% |
89
16.5 IPS |
|
|
Image Classification (Q)
|
96% |
333
62.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
120
1.94 IPS |
|
|
Image Segmentation (HP)
|
100% |
124
2.00 IPS |
|
|
Image Segmentation (Q)
|
97% |
287
4.67 IPS |
|
|
Pose Estimation (SP)
|
100% |
320
0.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
321
0.38 IPS |
|
|
Pose Estimation (Q)
|
86% |
689
0.81 IPS |
|
|
Object Detection (SP)
|
100% |
157
12.4 IPS |
|
|
Object Detection (HP)
|
100% |
98
7.78 IPS |
|
|
Object Detection (Q)
|
58% |
233
25.5 IPS |
|
|
Face Detection (SP)
|
100% |
416
4.95 IPS |
|
|
Face Detection (HP)
|
100% |
263
3.12 IPS |
|
|
Face Detection (Q)
|
96% |
617
7.36 IPS |
|
|
Depth Estimation (SP)
|
100% |
441
3.39 IPS |
|
|
Depth Estimation (HP)
|
99% |
283
2.18 IPS |
|
|
Depth Estimation (Q)
|
78% |
637
5.07 IPS |
|
|
Style Transfer (SP)
|
100% |
964
1.24 IPS |
|
|
Style Transfer (HP)
|
100% |
912
1.17 IPS |
|
|
Style Transfer (Q)
|
87% |
1361
1.77 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
171
6.31 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
166
6.14 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
297
11.0 IPS |
|
|
Text Classification (SP)
|
100% |
208
277.1 IPS |
|
|
Text Classification (HP)
|
100% |
123
164.5 IPS |
|
|
Text Classification (Q)
|
97% |
136
182.1 IPS |
|
|
Machine Translation (SP)
|
100% |
258
4.44 IPS |
|
|
Machine Translation (HP)
|
100% |
138
2.38 IPS |
|
|
Machine Translation (Q)
|
68% |
360
6.95 IPS |
