ASUS System Product Name
Geekbench AI Score
4269
Single Precision Score
4270
Half Precision Score
2411
Quantized Score
Geekbench AI 1.6.0 for Linux AVX2
Result Information
| User | djamc |
| Upload Date | December 30 2025 07:51 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 7 9800X3D |
| System Information | |
|---|---|
| Operating System | Gentoo Linux |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B650E-E GAMING 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 | 93.95 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3089
574.5 IPS |
|
|
Image Classification (HP)
|
100% |
3119
580.1 IPS |
|
|
Image Classification (Q)
|
99% |
1835
342.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
4126
66.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4140
67.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1590
25.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4546
5.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
4501
5.25 IPS |
|
|
Pose Estimation (Q)
|
96% |
5081
5.95 IPS |
|
|
Object Detection (SP)
|
100% |
2491
197.6 IPS |
|
|
Object Detection (HP)
|
100% |
2471
196.0 IPS |
|
|
Object Detection (Q)
|
85% |
1612
129.8 IPS |
|
|
Face Detection (SP)
|
100% |
7111
84.5 IPS |
|
|
Face Detection (HP)
|
100% |
7147
84.9 IPS |
|
|
Face Detection (Q)
|
97% |
3668
43.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5238
40.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
5245
40.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
3149
29.5 IPS |
|
|
Style Transfer (SP)
|
100% |
4736
6.09 IPS |
|
|
Style Transfer (HP)
|
100% |
4738
6.09 IPS |
|
|
Style Transfer (Q)
|
98% |
8729
11.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3390
125.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3410
125.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2489
92.2 IPS |
|
|
Text Classification (SP)
|
100% |
3528
4.71 KIPS |
|
|
Text Classification (HP)
|
100% |
3504
4.68 KIPS |
|
|
Text Classification (Q)
|
92% |
1146
1.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
6605
113.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6623
114.1 IPS |
|
|
Machine Translation (Q)
|
58% |
969
22.8 IPS |
