ASUS System Product Name
Geekbench AI Score
224
Single Precision Score
223
Half Precision Score
140
Quantized Score
Geekbench AI 1.3.0 for Linux x86 (64-bit)
Result Information
| Upload Date | April 13 2025 02:24 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 9 7950X |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.10 |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ProArt X670E-CREATOR WIFI |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 5.88 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 183.60 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
136
25.3 IPS |
|
|
Image Classification (HP)
|
100% |
136
25.4 IPS |
|
|
Image Classification (Q)
|
97% |
92
17.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
188
3.04 IPS |
|
|
Image Segmentation (HP)
|
100% |
186
3.01 IPS |
|
|
Image Segmentation (Q)
|
98% |
119
1.93 IPS |
|
|
Pose Estimation (SP)
|
100% |
210
0.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
211
0.25 IPS |
|
|
Pose Estimation (Q)
|
96% |
147
0.17 IPS |
|
|
Object Detection (SP)
|
100% |
130
10.3 IPS |
|
|
Object Detection (HP)
|
100% |
131
10.4 IPS |
|
|
Object Detection (Q)
|
87% |
88
7.09 IPS |
|
|
Face Detection (SP)
|
100% |
417
4.96 IPS |
|
|
Face Detection (HP)
|
100% |
420
4.99 IPS |
|
|
Face Detection (Q)
|
97% |
284
3.39 IPS |
|
|
Depth Estimation (SP)
|
100% |
304
2.34 IPS |
|
|
Depth Estimation (HP)
|
99% |
305
2.35 IPS |
|
|
Depth Estimation (Q)
|
64% |
176
1.62 IPS |
|
|
Style Transfer (SP)
|
100% |
614
0.79 IPS |
|
|
Style Transfer (HP)
|
100% |
608
0.78 IPS |
|
|
Style Transfer (Q)
|
98% |
449
0.58 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
137
5.06 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
137
5.07 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
93
3.46 IPS |
|
|
Text Classification (SP)
|
100% |
165
220.8 IPS |
|
|
Text Classification (HP)
|
100% |
166
221.1 IPS |
|
|
Text Classification (Q)
|
91% |
101
136.2 IPS |
|
|
Machine Translation (SP)
|
100% |
260
4.48 IPS |
|
|
Machine Translation (HP)
|
100% |
255
4.39 IPS |
|
|
Machine Translation (Q)
|
58% |
102
2.43 IPS |
