ASUS System Product Name
Geekbench AI Score
3287
Single Precision Score
3261
Half Precision Score
2904
Quantized Score
Geekbench AI 1.6.0 for Linux AVX2
Result Information
| User | atomsymbol |
| Upload Date | December 27 2025 03:30 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X |
| System Information | |
|---|---|
| Operating System | Gentoo Linux |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME X670-P |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 5.76 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 60.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2193
407.8 IPS |
|
|
Image Classification (HP)
|
100% |
2235
415.6 IPS |
|
|
Image Classification (Q)
|
99% |
2201
410.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3704
60.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3770
61.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1966
32.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4793
5.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
4704
5.49 IPS |
|
|
Pose Estimation (Q)
|
96% |
7104
8.32 IPS |
|
|
Object Detection (SP)
|
100% |
2434
193.1 IPS |
|
|
Object Detection (HP)
|
100% |
2464
195.4 IPS |
|
|
Object Detection (Q)
|
85% |
2542
204.6 IPS |
|
|
Face Detection (SP)
|
100% |
4278
50.8 IPS |
|
|
Face Detection (HP)
|
100% |
4104
48.8 IPS |
|
|
Face Detection (Q)
|
97% |
4260
50.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3639
28.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3567
27.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
3602
33.8 IPS |
|
|
Style Transfer (SP)
|
100% |
4831
6.21 IPS |
|
|
Style Transfer (HP)
|
100% |
4858
6.24 IPS |
|
|
Style Transfer (Q)
|
98% |
10318
13.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2513
92.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2556
94.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3026
112.1 IPS |
|
|
Text Classification (SP)
|
100% |
1949
2.60 KIPS |
|
|
Text Classification (HP)
|
100% |
1808
2.41 KIPS |
|
|
Text Classification (Q)
|
92% |
1143
1.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
4224
72.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4243
73.1 IPS |
|
|
Machine Translation (Q)
|
58% |
999
23.5 IPS |
