ASUS System Product Name
Geekbench AI Score
6341
Single Precision Score
6328
Half Precision Score
14583
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | renanlofiego |
| Upload Date | March 20 2025 03:13 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| 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% |
3777
702.3 IPS |
|
|
Image Classification (HP)
|
100% |
3919
728.7 IPS |
|
|
Image Classification (Q)
|
100% |
10787
2.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5116
82.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
5798
94.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
12263
198.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9653
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
9385
11.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
34051
39.9 IPS |
|
|
Object Detection (SP)
|
100% |
3658
290.2 IPS |
|
|
Object Detection (HP)
|
100% |
3035
240.7 IPS |
|
|
Object Detection (Q)
|
88% |
11494
921.4 IPS |
|
|
Face Detection (SP)
|
100% |
12362
146.9 IPS |
|
|
Face Detection (HP)
|
100% |
11990
142.5 IPS |
|
|
Face Detection (Q)
|
100% |
14959
177.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
9447
72.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
9925
76.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
30606
238.0 IPS |
|
|
Style Transfer (SP)
|
100% |
28108
36.1 IPS |
|
|
Style Transfer (HP)
|
100% |
28965
37.2 IPS |
|
|
Style Transfer (Q)
|
98% |
56463
72.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4358
160.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4227
156.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18150
672.2 IPS |
|
|
Text Classification (SP)
|
100% |
3297
4.40 KIPS |
|
|
Text Classification (HP)
|
100% |
3192
4.26 KIPS |
|
|
Text Classification (Q)
|
92% |
5906
7.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
3266
56.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3424
59.0 IPS |
|
|
Machine Translation (Q)
|
100% |
3032
52.2 IPS |
