ASUS System Product Name
Geekbench AI Score
172
Single Precision Score
172
Half Precision Score
110
Quantized Score
Geekbench AI 1.6.0 for Linux x86 (64-bit)
Result Information
| User | commispectre |
| Upload Date | January 13 2026 04:04 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 9 7900X |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.3 LTS |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B650E-F GAMING WIFI |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 5.73 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 61.96 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
99
18.4 IPS |
|
|
Image Classification (HP)
|
100% |
98
18.3 IPS |
|
|
Image Classification (Q)
|
97% |
68
12.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
138
2.24 IPS |
|
|
Image Segmentation (HP)
|
100% |
136
2.21 IPS |
|
|
Image Segmentation (Q)
|
98% |
91
1.47 IPS |
|
|
Pose Estimation (SP)
|
100% |
161
0.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
161
0.19 IPS |
|
|
Pose Estimation (Q)
|
96% |
113
0.13 IPS |
|
|
Object Detection (SP)
|
100% |
96
7.58 IPS |
|
|
Object Detection (HP)
|
100% |
95
7.55 IPS |
|
|
Object Detection (Q)
|
87% |
66
5.33 IPS |
|
|
Face Detection (SP)
|
100% |
329
3.91 IPS |
|
|
Face Detection (HP)
|
100% |
329
3.91 IPS |
|
|
Face Detection (Q)
|
97% |
223
2.66 IPS |
|
|
Depth Estimation (SP)
|
100% |
236
1.82 IPS |
|
|
Depth Estimation (HP)
|
99% |
236
1.82 IPS |
|
|
Depth Estimation (Q)
|
64% |
136
1.25 IPS |
|
|
Style Transfer (SP)
|
100% |
494
0.63 IPS |
|
|
Style Transfer (HP)
|
100% |
494
0.64 IPS |
|
|
Style Transfer (Q)
|
98% |
350
0.45 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
106
3.93 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
106
3.92 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
72
2.68 IPS |
|
|
Text Classification (SP)
|
100% |
124
165.3 IPS |
|
|
Text Classification (HP)
|
100% |
123
164.2 IPS |
|
|
Text Classification (Q)
|
91% |
78
104.8 IPS |
|
|
Machine Translation (SP)
|
100% |
224
3.85 IPS |
|
|
Machine Translation (HP)
|
100% |
224
3.86 IPS |
|
|
Machine Translation (Q)
|
58% |
95
2.27 IPS |
