ASUS System Product Name
Geekbench AI Score
6659
Single Precision Score
2008
Half Precision Score
8943
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Kos72 |
| Upload Date | December 22 2024 09:43 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-14900KF |
| 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 | Prestazioni elevate |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900KF |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5233
973.1 IPS |
|
|
Image Classification (HP)
|
100% |
740
137.7 IPS |
|
|
Image Classification (Q)
|
99% |
8252
1.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2728
44.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1445
23.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
4366
71.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
13218
15.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
5594
6.53 IPS |
|
|
Pose Estimation (Q)
|
94% |
40779
47.8 IPS |
|
|
Object Detection (SP)
|
100% |
5057
401.1 IPS |
|
|
Object Detection (HP)
|
100% |
922
73.1 IPS |
|
|
Object Detection (Q)
|
86% |
7900
634.9 IPS |
|
|
Face Detection (SP)
|
100% |
14500
172.3 IPS |
|
|
Face Detection (HP)
|
100% |
2235
26.6 IPS |
|
|
Face Detection (Q)
|
97% |
13547
161.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
15819
121.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2694
20.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
24490
195.4 IPS |
|
|
Style Transfer (SP)
|
100% |
30588
39.3 IPS |
|
|
Style Transfer (HP)
|
100% |
13959
17.9 IPS |
|
|
Style Transfer (Q)
|
98% |
42829
55.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4581
169.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2680
99.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6768
250.6 IPS |
|
|
Text Classification (SP)
|
100% |
2082
2.78 KIPS |
|
|
Text Classification (HP)
|
100% |
842
1.12 KIPS |
|
|
Text Classification (Q)
|
97% |
742
993.9 IPS |
|
|
Machine Translation (SP)
|
100% |
2685
46.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1023
17.6 IPS |
|
|
Machine Translation (Q)
|
65% |
3955
79.5 IPS |
