To be filled by O.E.M. To be filled by O.E.M.
Geekbench AI Score
10
Single Precision Score
10
Half Precision Score
8
Quantized Score
Geekbench AI 1.2.0 for Linux x86 (64-bit)
Result Information
| User | boris93 |
| Upload Date | March 05 2025 02:27 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD FX-8350 |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.2 LTS |
| Model | To be filled by O.E.M. To be filled by O.E.M. |
| Motherboard | ASUSTeK COMPUTER INC. M5A97 LE R2.0 |
| CPU Information | |
|---|---|
| Name | AMD FX-8350 |
| Topology | 1 Processor, 8 Cores |
| Identifier | AuthenticAMD Family 21 Model 2 Stepping 0 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 15.52 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7
1.25 IPS |
|
|
Image Classification (HP)
|
100% |
6
1.04 IPS |
|
|
Image Classification (Q)
|
97% |
5
0.89 IPS |
|
|
Image Segmentation (SP)
|
100% |
8
0.14 IPS |
|
|
Image Segmentation (HP)
|
100% |
9
0.14 IPS |
|
|
Image Segmentation (Q)
|
98% |
7
0.12 IPS |
|
|
Pose Estimation (SP)
|
100% |
10
0.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
10
0.01 IPS |
|
|
Pose Estimation (Q)
|
96% |
9
0.01 IPS |
|
|
Object Detection (SP)
|
100% |
6
0.50 IPS |
|
|
Object Detection (HP)
|
100% |
6
0.49 IPS |
|
|
Object Detection (Q)
|
87% |
5
0.40 IPS |
|
|
Face Detection (SP)
|
100% |
22
0.26 IPS |
|
|
Face Detection (HP)
|
100% |
22
0.26 IPS |
|
|
Face Detection (Q)
|
97% |
18
0.21 IPS |
|
|
Depth Estimation (SP)
|
100% |
15
0.11 IPS |
|
|
Depth Estimation (HP)
|
99% |
15
0.11 IPS |
|
|
Depth Estimation (Q)
|
64% |
10
0.10 IPS |
|
|
Style Transfer (SP)
|
100% |
32
0.04 IPS |
|
|
Style Transfer (HP)
|
100% |
32
0.04 IPS |
|
|
Style Transfer (Q)
|
98% |
27
0.03 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7
0.25 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7
0.25 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6
0.24 IPS |
|
|
Text Classification (SP)
|
100% |
7
9.89 IPS |
|
|
Text Classification (HP)
|
100% |
5
6.94 IPS |
|
|
Text Classification (Q)
|
91% |
5
7.21 IPS |
|
|
Machine Translation (SP)
|
100% |
11
0.18 IPS |
|
|
Machine Translation (HP)
|
100% |
11
0.19 IPS |
|
|
Machine Translation (Q)
|
58% |
9
0.21 IPS |
