System manufacturer System Product Name
Geekbench AI Score
84
Single Precision Score
85
Half Precision Score
508
Quantized Score
Geekbench AI 1.1.0 for Windows x86 (64-bit)
Result Information
| Upload Date | November 04 2024 07:49 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD A10-6800K APU with Radeon(tm) HD Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. F2A55-M LK2 PLUS |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD A10-6800K |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | AuthenticAMD Family 21 Model 19 Stepping 1 |
| Base Frequency | 4.10 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
153
28.5 IPS |
|
|
Image Classification (HP)
|
100% |
154
28.7 IPS |
|
|
Image Classification (Q)
|
100% |
385
71.6 IPS |
|
|
Image Segmentation (SP)
|
29% |
14
2.97 IPS |
|
|
Image Segmentation (HP)
|
29% |
14
2.96 IPS |
|
|
Image Segmentation (Q)
|
99% |
268
4.35 IPS |
|
|
Pose Estimation (SP)
|
100% |
267
0.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
275
0.32 IPS |
|
|
Pose Estimation (Q)
|
94% |
665
0.78 IPS |
|
|
Object Detection (SP)
|
100% |
134
10.7 IPS |
|
|
Object Detection (HP)
|
100% |
144
11.4 IPS |
|
|
Object Detection (Q)
|
87% |
356
28.6 IPS |
|
|
Face Detection (SP)
|
100% |
422
5.02 IPS |
|
|
Face Detection (HP)
|
100% |
426
5.07 IPS |
|
|
Face Detection (Q)
|
97% |
754
8.99 IPS |
|
|
Depth Estimation (SP)
|
1% |
0
2.75 IPS |
|
|
Depth Estimation (HP)
|
1% |
0
2.96 IPS |
|
|
Depth Estimation (Q)
|
81% |
881
6.96 IPS |
|
|
Style Transfer (SP)
|
31% |
60
0.82 IPS |
|
|
Style Transfer (HP)
|
31% |
64
0.87 IPS |
|
|
Style Transfer (Q)
|
98% |
2441
3.15 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
193
7.14 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
193
7.11 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
500
18.5 IPS |
|
|
Text Classification (SP)
|
100% |
237
316.7 IPS |
|
|
Text Classification (HP)
|
100% |
234
312.1 IPS |
|
|
Text Classification (Q)
|
91% |
313
421.2 IPS |
|
|
Machine Translation (SP)
|
100% |
220
3.79 IPS |
|
|
Machine Translation (HP)
|
100% |
188
3.24 IPS |
|
|
Machine Translation (Q)
|
100% |
185
3.19 IPS |
