System manufacturer System Product Name
Geekbench AI Score
7
Single Precision Score
7
Half Precision Score
6
Quantized Score
Geekbench AI 1.5.0 for Linux x86 (64-bit)
Result Information
| User | Imro74 |
| Upload Date | December 03 2025 03:37 AM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD A8-5600K |
| System Information | |
|---|---|
| Operating System | Debian GNU/Linux 12 (bookworm) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. F2A85-M PRO |
| CPU Information | |
|---|---|
| Name | AMD A8-5600K |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | AuthenticAMD Family 21 Model 16 Stepping 1 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 7.21 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4
0.79 IPS |
|
|
Image Classification (HP)
|
100% |
4
0.79 IPS |
|
|
Image Classification (Q)
|
97% |
4
0.66 IPS |
|
|
Image Segmentation (SP)
|
100% |
6
0.10 IPS |
|
|
Image Segmentation (HP)
|
100% |
6
0.10 IPS |
|
|
Image Segmentation (Q)
|
98% |
5
0.08 IPS |
|
|
Pose Estimation (SP)
|
100% |
7
0.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
7
0.01 IPS |
|
|
Pose Estimation (Q)
|
96% |
6
0.01 IPS |
|
|
Object Detection (SP)
|
100% |
4
0.33 IPS |
|
|
Object Detection (HP)
|
100% |
4
0.33 IPS |
|
|
Object Detection (Q)
|
87% |
3
0.27 IPS |
|
|
Face Detection (SP)
|
100% |
14
0.17 IPS |
|
|
Face Detection (HP)
|
100% |
14
0.17 IPS |
|
|
Face Detection (Q)
|
97% |
12
0.14 IPS |
|
|
Depth Estimation (SP)
|
100% |
10
0.08 IPS |
|
|
Depth Estimation (HP)
|
99% |
10
0.08 IPS |
|
|
Depth Estimation (Q)
|
64% |
7
0.06 IPS |
|
|
Style Transfer (SP)
|
100% |
21
0.03 IPS |
|
|
Style Transfer (HP)
|
100% |
21
0.03 IPS |
|
|
Style Transfer (Q)
|
98% |
18
0.02 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4
0.16 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4
0.16 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4
0.14 IPS |
|
|
Text Classification (SP)
|
100% |
6
7.46 IPS |
|
|
Text Classification (HP)
|
100% |
6
7.44 IPS |
|
|
Text Classification (Q)
|
91% |
5
6.18 IPS |
|
|
Machine Translation (SP)
|
100% |
11
0.19 IPS |
|
|
Machine Translation (HP)
|
100% |
11
0.19 IPS |
|
|
Machine Translation (Q)
|
58% |
6
0.15 IPS |
