ASUS System Product Name
Geekbench AI Score
146
Single Precision Score
141
Half Precision Score
106
Quantized Score
Geekbench AI 1.2.0 for Linux x86 (64-bit)
Result Information
| Upload Date | January 06 2025 09:07 AM |
| Views | 1 |
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% |
148
27.5 IPS |
|
|
Image Classification (HP)
|
100% |
76
14.1 IPS |
|
|
Image Classification (Q)
|
97% |
73
13.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
103
1.67 IPS |
|
|
Image Segmentation (HP)
|
100% |
139
2.25 IPS |
|
|
Image Segmentation (Q)
|
98% |
105
1.71 IPS |
|
|
Pose Estimation (SP)
|
100% |
127
0.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
123
0.14 IPS |
|
|
Pose Estimation (Q)
|
96% |
103
0.12 IPS |
|
|
Object Detection (SP)
|
100% |
82
6.52 IPS |
|
|
Object Detection (HP)
|
100% |
85
6.71 IPS |
|
|
Object Detection (Q)
|
87% |
64
5.13 IPS |
|
|
Face Detection (SP)
|
100% |
252
3.00 IPS |
|
|
Face Detection (HP)
|
100% |
282
3.35 IPS |
|
|
Face Detection (Q)
|
97% |
228
2.72 IPS |
|
|
Depth Estimation (SP)
|
100% |
191
1.47 IPS |
|
|
Depth Estimation (HP)
|
99% |
191
1.47 IPS |
|
|
Depth Estimation (Q)
|
64% |
127
1.17 IPS |
|
|
Style Transfer (SP)
|
100% |
395
0.51 IPS |
|
|
Style Transfer (HP)
|
100% |
389
0.50 IPS |
|
|
Style Transfer (Q)
|
98% |
325
0.42 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
87
3.23 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
86
3.18 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
70
2.58 IPS |
|
|
Text Classification (SP)
|
100% |
97
129.6 IPS |
|
|
Text Classification (HP)
|
100% |
97
128.9 IPS |
|
|
Text Classification (Q)
|
91% |
68
90.7 IPS |
|
|
Machine Translation (SP)
|
100% |
180
3.10 IPS |
|
|
Machine Translation (HP)
|
100% |
170
2.93 IPS |
|
|
Machine Translation (Q)
|
58% |
85
2.04 IPS |
