ASUS System Product Name
Geekbench AI Score
6024
Single Precision Score
1787
Half Precision Score
9299
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | siortuth |
| Upload Date | December 30 2024 09:25 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-14900K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z790 DARK HERO |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900K |
| 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% |
4900
911.2 IPS |
|
|
Image Classification (HP)
|
100% |
641
119.3 IPS |
|
|
Image Classification (Q)
|
99% |
7703
1.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2299
37.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1042
16.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
4591
74.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
12479
14.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
5329
6.22 IPS |
|
|
Pose Estimation (Q)
|
94% |
38373
45.0 IPS |
|
|
Object Detection (SP)
|
100% |
4671
370.5 IPS |
|
|
Object Detection (HP)
|
100% |
802
63.6 IPS |
|
|
Object Detection (Q)
|
86% |
8252
663.2 IPS |
|
|
Face Detection (SP)
|
100% |
13188
156.7 IPS |
|
|
Face Detection (HP)
|
100% |
1966
23.4 IPS |
|
|
Face Detection (Q)
|
97% |
12637
150.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
14631
112.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2428
18.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
21333
170.2 IPS |
|
|
Style Transfer (SP)
|
100% |
28348
36.4 IPS |
|
|
Style Transfer (HP)
|
100% |
13163
16.9 IPS |
|
|
Style Transfer (Q)
|
98% |
35791
46.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4298
158.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2478
91.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5891
218.1 IPS |
|
|
Text Classification (SP)
|
100% |
1792
2.39 KIPS |
|
|
Text Classification (HP)
|
100% |
832
1.11 KIPS |
|
|
Text Classification (Q)
|
97% |
1882
2.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
2275
39.2 IPS |
|
|
Machine Translation (HP)
|
100% |
899
15.5 IPS |
|
|
Machine Translation (Q)
|
65% |
4040
81.2 IPS |
