ASUS System Product Name
Geekbench AI Score
142
Single Precision Score
142
Half Precision Score
111
Quantized Score
Geekbench AI 1.2.0 for Linux x86 (64-bit)
Result Information
| Upload Date | January 06 2025 09:07 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.1 LTS |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ProArt X870E-CREATOR WIFI |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X 16-Core Processor |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 5.75 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 30.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
76
14.1 IPS |
|
|
Image Classification (HP)
|
100% |
76
14.2 IPS |
|
|
Image Classification (Q)
|
97% |
73
13.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
138
2.24 IPS |
|
|
Image Segmentation (HP)
|
100% |
144
2.33 IPS |
|
|
Image Segmentation (Q)
|
98% |
81
1.31 IPS |
|
|
Pose Estimation (SP)
|
100% |
123
0.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
124
0.14 IPS |
|
|
Pose Estimation (Q)
|
96% |
104
0.12 IPS |
|
|
Object Detection (SP)
|
100% |
85
6.71 IPS |
|
|
Object Detection (HP)
|
100% |
86
6.84 IPS |
|
|
Object Detection (Q)
|
87% |
67
5.37 IPS |
|
|
Face Detection (SP)
|
100% |
284
3.38 IPS |
|
|
Face Detection (HP)
|
100% |
257
3.05 IPS |
|
|
Face Detection (Q)
|
97% |
219
2.62 IPS |
|
|
Depth Estimation (SP)
|
100% |
184
1.41 IPS |
|
|
Depth Estimation (HP)
|
99% |
189
1.45 IPS |
|
|
Depth Estimation (Q)
|
64% |
128
1.18 IPS |
|
|
Style Transfer (SP)
|
100% |
392
0.50 IPS |
|
|
Style Transfer (HP)
|
100% |
390
0.50 IPS |
|
|
Style Transfer (Q)
|
98% |
324
0.42 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
86
3.17 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
86
3.18 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
77
2.87 IPS |
|
|
Text Classification (SP)
|
100% |
100
133.3 IPS |
|
|
Text Classification (HP)
|
100% |
99
132.2 IPS |
|
|
Text Classification (Q)
|
91% |
71
95.5 IPS |
|
|
Machine Translation (SP)
|
100% |
173
2.99 IPS |
|
|
Machine Translation (HP)
|
100% |
182
3.14 IPS |
|
|
Machine Translation (Q)
|
58% |
140
3.35 IPS |
