ASUS System Product Name
Geekbench AI Score
7016
Single Precision Score
1994
Half Precision Score
8900
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Kos72 |
| Upload Date | February 08 2025 03:23 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-14900KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 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% |
5710
1.06 KIPS |
|
|
Image Classification (HP)
|
100% |
711
132.2 IPS |
|
|
Image Classification (Q)
|
99% |
8132
1.52 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2761
44.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1106
17.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
4011
65.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
13592
15.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
5767
6.73 IPS |
|
|
Pose Estimation (Q)
|
94% |
40930
48.0 IPS |
|
|
Object Detection (SP)
|
100% |
5511
437.1 IPS |
|
|
Object Detection (HP)
|
100% |
1085
86.1 IPS |
|
|
Object Detection (Q)
|
86% |
7901
635.0 IPS |
|
|
Face Detection (SP)
|
100% |
15195
180.5 IPS |
|
|
Face Detection (HP)
|
100% |
2364
28.1 IPS |
|
|
Face Detection (Q)
|
97% |
13644
162.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
15980
123.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2807
21.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
25442
203.0 IPS |
|
|
Style Transfer (SP)
|
100% |
32296
41.5 IPS |
|
|
Style Transfer (HP)
|
100% |
14628
18.8 IPS |
|
|
Style Transfer (Q)
|
98% |
45289
58.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4673
172.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2594
95.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6747
249.8 IPS |
|
|
Text Classification (SP)
|
100% |
2139
2.86 KIPS |
|
|
Text Classification (HP)
|
100% |
852
1.14 KIPS |
|
|
Text Classification (Q)
|
97% |
742
994.4 IPS |
|
|
Machine Translation (SP)
|
100% |
3126
53.8 IPS |
|
|
Machine Translation (HP)
|
100% |
944
16.3 IPS |
|
|
Machine Translation (Q)
|
65% |
3758
75.5 IPS |
