ASUS System Product Name
Geekbench AI Score
248
Single Precision Score
248
Half Precision Score
187
Quantized Score
Geekbench AI 1.5.0 for Linux x86 (64-bit)
Result Information
| Upload Date | November 28 2025 12:02 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.3 LTS |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ProArt X870E-CREATOR WIFI |
| 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 | 123.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
150
28.0 IPS |
|
|
Image Classification (HP)
|
100% |
149
27.8 IPS |
|
|
Image Classification (Q)
|
97% |
122
22.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
202
3.28 IPS |
|
|
Image Segmentation (HP)
|
100% |
202
3.27 IPS |
|
|
Image Segmentation (Q)
|
98% |
156
2.54 IPS |
|
|
Pose Estimation (SP)
|
100% |
233
0.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
233
0.27 IPS |
|
|
Pose Estimation (Q)
|
96% |
199
0.23 IPS |
|
|
Object Detection (SP)
|
100% |
142
11.3 IPS |
|
|
Object Detection (HP)
|
100% |
142
11.3 IPS |
|
|
Object Detection (Q)
|
87% |
117
9.36 IPS |
|
|
Face Detection (SP)
|
100% |
471
5.60 IPS |
|
|
Face Detection (HP)
|
100% |
472
5.61 IPS |
|
|
Face Detection (Q)
|
97% |
368
4.39 IPS |
|
|
Depth Estimation (SP)
|
100% |
335
2.58 IPS |
|
|
Depth Estimation (HP)
|
99% |
335
2.58 IPS |
|
|
Depth Estimation (Q)
|
64% |
232
2.14 IPS |
|
|
Style Transfer (SP)
|
100% |
677
0.87 IPS |
|
|
Style Transfer (HP)
|
100% |
672
0.86 IPS |
|
|
Style Transfer (Q)
|
98% |
592
0.76 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
151
5.57 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
151
5.56 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
124
4.60 IPS |
|
|
Text Classification (SP)
|
100% |
183
244.6 IPS |
|
|
Text Classification (HP)
|
100% |
184
245.0 IPS |
|
|
Text Classification (Q)
|
91% |
133
179.2 IPS |
|
|
Machine Translation (SP)
|
100% |
299
5.16 IPS |
|
|
Machine Translation (HP)
|
100% |
306
5.27 IPS |
|
|
Machine Translation (Q)
|
58% |
143
3.43 IPS |
