ASUS System Product Name
Geekbench AI Score
2725
Single Precision Score
2719
Half Precision Score
2334
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | f180n4cc1 |
| Upload Date | September 20 2025 09:29 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 9 7950X3D |
| System Information | |
|---|---|
| Operating System | CachyOS |
| 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 | 62.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1617
300.6 IPS |
|
|
Image Classification (HP)
|
100% |
1651
307.1 IPS |
|
|
Image Classification (Q)
|
99% |
1577
294.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3113
50.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3080
49.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1495
24.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4313
5.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
4186
4.88 IPS |
|
|
Pose Estimation (Q)
|
96% |
6140
7.19 IPS |
|
|
Object Detection (SP)
|
100% |
1892
150.1 IPS |
|
|
Object Detection (HP)
|
100% |
1986
157.5 IPS |
|
|
Object Detection (Q)
|
85% |
1983
159.6 IPS |
|
|
Face Detection (SP)
|
100% |
3104
36.9 IPS |
|
|
Face Detection (HP)
|
100% |
3093
36.8 IPS |
|
|
Face Detection (Q)
|
97% |
3366
40.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3101
23.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3244
25.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
2897
27.2 IPS |
|
|
Style Transfer (SP)
|
100% |
4911
6.31 IPS |
|
|
Style Transfer (HP)
|
100% |
4900
6.30 IPS |
|
|
Style Transfer (Q)
|
98% |
8715
11.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1757
64.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1748
64.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2528
93.7 IPS |
|
|
Text Classification (SP)
|
100% |
1712
2.29 KIPS |
|
|
Text Classification (HP)
|
100% |
1710
2.28 KIPS |
|
|
Text Classification (Q)
|
92% |
957
1.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
3868
66.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3567
61.4 IPS |
|
|
Machine Translation (Q)
|
58% |
815
19.1 IPS |
