ASUS System Product Name
Geekbench AI Score
234
Single Precision Score
236
Half Precision Score
158
Quantized Score
Geekbench AI 1.3.0 for Linux x86 (64-bit)
Result Information
| Upload Date | May 08 2025 09:06 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i9-14900KF |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.2 LTS |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX Z790-F GAMING WIFI II |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900KF |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 5.70 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 125.60 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
155
28.8 IPS |
|
|
Image Classification (HP)
|
100% |
155
28.8 IPS |
|
|
Image Classification (Q)
|
97% |
74
13.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
129
2.09 IPS |
|
|
Image Segmentation (HP)
|
100% |
148
2.40 IPS |
|
|
Image Segmentation (Q)
|
98% |
98
1.59 IPS |
|
|
Pose Estimation (SP)
|
100% |
186
0.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
185
0.22 IPS |
|
|
Pose Estimation (Q)
|
96% |
153
0.18 IPS |
|
|
Object Detection (SP)
|
100% |
152
12.1 IPS |
|
|
Object Detection (HP)
|
100% |
144
11.4 IPS |
|
|
Object Detection (Q)
|
87% |
107
8.55 IPS |
|
|
Face Detection (SP)
|
100% |
457
5.43 IPS |
|
|
Face Detection (HP)
|
100% |
459
5.45 IPS |
|
|
Face Detection (Q)
|
97% |
358
4.27 IPS |
|
|
Depth Estimation (SP)
|
100% |
324
2.49 IPS |
|
|
Depth Estimation (HP)
|
99% |
324
2.50 IPS |
|
|
Depth Estimation (Q)
|
64% |
228
2.10 IPS |
|
|
Style Transfer (SP)
|
100% |
696
0.89 IPS |
|
|
Style Transfer (HP)
|
100% |
699
0.90 IPS |
|
|
Style Transfer (Q)
|
98% |
598
0.77 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
164
6.06 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
159
5.87 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
117
4.34 IPS |
|
|
Text Classification (SP)
|
100% |
178
238.1 IPS |
|
|
Text Classification (HP)
|
100% |
179
239.1 IPS |
|
|
Text Classification (Q)
|
91% |
109
146.5 IPS |
|
|
Machine Translation (SP)
|
100% |
302
5.21 IPS |
|
|
Machine Translation (HP)
|
100% |
308
5.31 IPS |
|
|
Machine Translation (Q)
|
58% |
134
3.21 IPS |
