ASUS System Product Name
Geekbench AI Score
209
Single Precision Score
208
Half Precision Score
149
Quantized Score
Geekbench AI 1.0.0 for Linux x86 (64-bit)
Result Information
| Upload Date | August 16 2024 03:17 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 9 7950X |
| System Information | |
|---|---|
| Operating System | Arch Linux |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E EXTREME |
| 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 | 62.43 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
125
23.2 IPS |
|
|
Image Classification (HP)
|
100% |
124
23.1 IPS |
|
|
Image Classification (Q)
|
97% |
96
17.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
172
2.79 IPS |
|
|
Image Segmentation (HP)
|
100% |
172
2.79 IPS |
|
|
Image Segmentation (Q)
|
98% |
124
2.02 IPS |
|
|
Pose Estimation (SP)
|
100% |
193
0.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
189
0.22 IPS |
|
|
Pose Estimation (Q)
|
96% |
159
0.19 IPS |
|
|
Object Detection (SP)
|
100% |
120
9.49 IPS |
|
|
Object Detection (HP)
|
100% |
120
9.51 IPS |
|
|
Object Detection (Q)
|
88% |
93
7.48 IPS |
|
|
Face Detection (SP)
|
100% |
408
4.85 IPS |
|
|
Face Detection (HP)
|
100% |
393
4.67 IPS |
|
|
Face Detection (Q)
|
97% |
286
3.41 IPS |
|
|
Depth Estimation (SP)
|
100% |
279
2.15 IPS |
|
|
Depth Estimation (HP)
|
100% |
282
2.18 IPS |
|
|
Depth Estimation (Q)
|
75% |
211
1.71 IPS |
|
|
Style Transfer (SP)
|
100% |
581
0.75 IPS |
|
|
Style Transfer (HP)
|
100% |
580
0.75 IPS |
|
|
Style Transfer (Q)
|
98% |
480
0.62 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
125
4.62 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
125
4.63 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
99
3.66 IPS |
|
|
Text Classification (SP)
|
100% |
159
212.3 IPS |
|
|
Text Classification (HP)
|
100% |
158
211.2 IPS |
|
|
Text Classification (Q)
|
91% |
104
139.2 IPS |
|
|
Machine Translation (SP)
|
100% |
253
4.37 IPS |
|
|
Machine Translation (HP)
|
100% |
254
4.38 IPS |
|
|
Machine Translation (Q)
|
58% |
105
2.51 IPS |
