ASUS System Product Name
Geekbench AI Score
138
Single Precision Score
138
Half Precision Score
103
Quantized Score
Geekbench AI 1.7.0 for Linux x86 (64-bit)
Result Information
| User | iantu |
| Upload Date | April 01 2026 07:10 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 7 9800X3D |
| System Information | |
|---|---|
| Operating System | Fedora Linux 43.1.6 (Budgie Atomic) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B850-E WIFI |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 5.27 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 30.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
80
14.8 IPS |
|
|
Image Classification (HP)
|
100% |
80
14.8 IPS |
|
|
Image Classification (Q)
|
97% |
64
12.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
108
1.75 IPS |
|
|
Image Segmentation (HP)
|
100% |
108
1.74 IPS |
|
|
Image Segmentation (Q)
|
98% |
85
1.38 IPS |
|
|
Pose Estimation (SP)
|
100% |
125
0.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
125
0.15 IPS |
|
|
Pose Estimation (Q)
|
96% |
104
0.12 IPS |
|
|
Object Detection (SP)
|
100% |
77
6.08 IPS |
|
|
Object Detection (HP)
|
100% |
77
6.08 IPS |
|
|
Object Detection (Q)
|
87% |
62
4.97 IPS |
|
|
Face Detection (SP)
|
100% |
263
3.13 IPS |
|
|
Face Detection (HP)
|
100% |
263
3.13 IPS |
|
|
Face Detection (Q)
|
97% |
202
2.41 IPS |
|
|
Depth Estimation (SP)
|
100% |
184
1.42 IPS |
|
|
Depth Estimation (HP)
|
99% |
184
1.42 IPS |
|
|
Depth Estimation (Q)
|
64% |
125
1.15 IPS |
|
|
Style Transfer (SP)
|
100% |
380
0.49 IPS |
|
|
Style Transfer (HP)
|
100% |
379
0.49 IPS |
|
|
Style Transfer (Q)
|
98% |
317
0.41 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
82
3.03 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
82
3.02 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
66
2.45 IPS |
|
|
Text Classification (SP)
|
100% |
104
138.7 IPS |
|
|
Text Classification (HP)
|
100% |
104
138.9 IPS |
|
|
Text Classification (Q)
|
91% |
77
103.9 IPS |
|
|
Machine Translation (SP)
|
100% |
201
3.46 IPS |
|
|
Machine Translation (HP)
|
100% |
201
3.47 IPS |
|
|
Machine Translation (Q)
|
58% |
103
2.45 IPS |
