ASUS System Product Name
Geekbench AI Score
1900
Single Precision Score
1969
Half Precision Score
1437
Quantized Score
Geekbench AI 1.4.0 for Linux AVX2
Result Information
| User | luemonkey123 |
| Upload Date | August 28 2025 12:48 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 5 9600X |
| System Information | |
|---|---|
| Operating System | Fedora Linux 42 (KDE Plasma Desktop Edition) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B650M-A AX II |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 9600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 5.49 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 46.20 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1497
278.3 IPS |
|
|
Image Classification (HP)
|
100% |
1509
280.7 IPS |
|
|
Image Classification (Q)
|
99% |
875
163.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1852
30.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1915
31.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
904
14.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1482
1.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
1790
2.09 IPS |
|
|
Pose Estimation (Q)
|
96% |
2915
3.42 IPS |
|
|
Object Detection (SP)
|
100% |
1471
116.6 IPS |
|
|
Object Detection (HP)
|
100% |
1484
117.7 IPS |
|
|
Object Detection (Q)
|
85% |
1010
81.3 IPS |
|
|
Face Detection (SP)
|
100% |
2452
29.1 IPS |
|
|
Face Detection (HP)
|
100% |
2379
28.3 IPS |
|
|
Face Detection (Q)
|
97% |
2096
25.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1924
14.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1794
13.8 IPS |
|
|
Depth Estimation (Q)
|
63% |
1765
16.6 IPS |
|
|
Style Transfer (SP)
|
100% |
1804
2.32 IPS |
|
|
Style Transfer (HP)
|
100% |
1823
2.34 IPS |
|
|
Style Transfer (Q)
|
98% |
4857
6.26 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2187
80.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2216
81.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1709
63.3 IPS |
|
|
Text Classification (SP)
|
100% |
2254
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
2618
3.49 KIPS |
|
|
Text Classification (Q)
|
92% |
761
1.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
2428
41.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2533
43.6 IPS |
|
|
Machine Translation (Q)
|
58% |
691
16.2 IPS |
