ASUS System Product Name
Geekbench AI Score
226
Single Precision Score
226
Half Precision Score
143
Quantized Score
Geekbench AI 1.5.0 for Linux x86 (64-bit)
Result Information
| Upload Date | November 13 2025 04:15 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 9 7950X |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.3 LTS |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX X870E-E GAMING 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 | 61.94 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
137
25.4 IPS |
|
|
Image Classification (HP)
|
100% |
136
25.3 IPS |
|
|
Image Classification (Q)
|
97% |
93
17.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
188
3.04 IPS |
|
|
Image Segmentation (HP)
|
100% |
188
3.05 IPS |
|
|
Image Segmentation (Q)
|
98% |
122
1.99 IPS |
|
|
Pose Estimation (SP)
|
100% |
214
0.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
214
0.25 IPS |
|
|
Pose Estimation (Q)
|
96% |
150
0.18 IPS |
|
|
Object Detection (SP)
|
100% |
131
10.4 IPS |
|
|
Object Detection (HP)
|
100% |
132
10.5 IPS |
|
|
Object Detection (Q)
|
87% |
89
7.18 IPS |
|
|
Face Detection (SP)
|
100% |
424
5.03 IPS |
|
|
Face Detection (HP)
|
100% |
423
5.03 IPS |
|
|
Face Detection (Q)
|
97% |
288
3.43 IPS |
|
|
Depth Estimation (SP)
|
100% |
307
2.37 IPS |
|
|
Depth Estimation (HP)
|
99% |
308
2.37 IPS |
|
|
Depth Estimation (Q)
|
64% |
178
1.64 IPS |
|
|
Style Transfer (SP)
|
100% |
618
0.79 IPS |
|
|
Style Transfer (HP)
|
100% |
616
0.79 IPS |
|
|
Style Transfer (Q)
|
98% |
453
0.58 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
137
5.06 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
138
5.09 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
94
3.48 IPS |
|
|
Text Classification (SP)
|
100% |
163
218.2 IPS |
|
|
Text Classification (HP)
|
100% |
164
219.5 IPS |
|
|
Text Classification (Q)
|
91% |
102
137.3 IPS |
|
|
Machine Translation (SP)
|
100% |
269
4.64 IPS |
|
|
Machine Translation (HP)
|
100% |
267
4.60 IPS |
|
|
Machine Translation (Q)
|
58% |
110
2.62 IPS |
