ASUS System Product Name
Geekbench AI Score
6499
Single Precision Score
1901
Half Precision Score
9907
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | renanlofiego |
| Upload Date | March 20 2025 03:08 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) i9-14900KS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z790 APEX ENCORE |
| Power Plan | GameTurbo (High Performance) |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) i9-14900KS |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5163
960.1 IPS |
|
|
Image Classification (HP)
|
100% |
666
123.9 IPS |
|
|
Image Classification (Q)
|
99% |
8192
1.53 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2789
45.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1204
19.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
4585
74.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
12089
14.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
5419
6.32 IPS |
|
|
Pose Estimation (Q)
|
94% |
38638
45.3 IPS |
|
|
Object Detection (SP)
|
100% |
5094
404.1 IPS |
|
|
Object Detection (HP)
|
100% |
883
70.0 IPS |
|
|
Object Detection (Q)
|
86% |
9250
743.4 IPS |
|
|
Face Detection (SP)
|
100% |
14483
172.1 IPS |
|
|
Face Detection (HP)
|
100% |
2065
24.5 IPS |
|
|
Face Detection (Q)
|
97% |
13936
166.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
14885
114.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2483
19.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
23121
184.5 IPS |
|
|
Style Transfer (SP)
|
100% |
28727
36.9 IPS |
|
|
Style Transfer (HP)
|
100% |
13544
17.4 IPS |
|
|
Style Transfer (Q)
|
98% |
37853
48.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4505
166.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2532
93.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6064
224.6 IPS |
|
|
Text Classification (SP)
|
100% |
2012
2.69 KIPS |
|
|
Text Classification (HP)
|
100% |
924
1.23 KIPS |
|
|
Text Classification (Q)
|
97% |
2015
2.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
2704
46.6 IPS |
|
|
Machine Translation (HP)
|
100% |
990
17.1 IPS |
|
|
Machine Translation (Q)
|
65% |
4554
91.5 IPS |
