ASUS System Product Name
Geekbench AI Score
10451
Single Precision Score
10461
Half Precision Score
25857
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | f180n4cc1 |
| Upload Date | March 25 2025 09:13 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 7950X3D 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Fedora Linux 41 (Workstation Edition) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX X670E-F GAMING WIFI |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X3D |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 5.76 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.43 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5527
1.03 KIPS |
|
|
Image Classification (HP)
|
100% |
5544
1.03 KIPS |
|
|
Image Classification (Q)
|
100% |
14841
2.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8036
130.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
8068
130.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
21562
349.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
17005
19.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
17070
19.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
67018
78.5 IPS |
|
|
Object Detection (SP)
|
100% |
6099
483.8 IPS |
|
|
Object Detection (HP)
|
100% |
6097
483.6 IPS |
|
|
Object Detection (Q)
|
88% |
16114
1.29 KIPS |
|
|
Face Detection (SP)
|
100% |
17045
202.5 IPS |
|
|
Face Detection (HP)
|
100% |
16949
201.4 IPS |
|
|
Face Detection (Q)
|
100% |
41712
495.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
18641
143.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
18637
143.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
50781
395.2 IPS |
|
|
Style Transfer (SP)
|
100% |
42207
54.3 IPS |
|
|
Style Transfer (HP)
|
100% |
42471
54.6 IPS |
|
|
Style Transfer (Q)
|
98% |
157425
203.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8470
312.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8479
313.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25783
954.8 IPS |
|
|
Text Classification (SP)
|
100% |
4203
5.61 KIPS |
|
|
Text Classification (HP)
|
100% |
4204
5.61 KIPS |
|
|
Text Classification (Q)
|
92% |
5207
7.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
7070
121.8 IPS |
|
|
Machine Translation (HP)
|
100% |
7055
121.5 IPS |
|
|
Machine Translation (Q)
|
100% |
8637
148.8 IPS |
