ASUS System Product Name
Geekbench AI Score
6012
Single Precision Score
1835
Half Precision Score
10029
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | leeghoofd |
| Upload Date | August 12 2025 08:40 PM |
| Views | 10 |
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 APEX |
| Power Plan | Gebalanceerd |
| 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% |
4914
913.9 IPS |
|
|
Image Classification (HP)
|
100% |
638
118.7 IPS |
|
|
Image Classification (Q)
|
99% |
7238
1.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2421
39.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1161
18.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
13554
220.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11748
13.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
4939
5.76 IPS |
|
|
Pose Estimation (Q)
|
94% |
36786
43.1 IPS |
|
|
Object Detection (SP)
|
100% |
4720
374.4 IPS |
|
|
Object Detection (HP)
|
100% |
901
71.4 IPS |
|
|
Object Detection (Q)
|
86% |
8374
673.0 IPS |
|
|
Face Detection (SP)
|
100% |
14448
171.7 IPS |
|
|
Face Detection (HP)
|
100% |
2029
24.1 IPS |
|
|
Face Detection (Q)
|
97% |
12560
149.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
14022
108.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2372
18.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
20649
164.8 IPS |
|
|
Style Transfer (SP)
|
100% |
26582
34.2 IPS |
|
|
Style Transfer (HP)
|
100% |
12322
15.8 IPS |
|
|
Style Transfer (Q)
|
98% |
31609
40.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4151
153.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2292
84.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6428
238.0 IPS |
|
|
Text Classification (SP)
|
100% |
1696
2.26 KIPS |
|
|
Text Classification (HP)
|
100% |
878
1.17 KIPS |
|
|
Text Classification (Q)
|
97% |
1653
2.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
2469
42.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1106
19.1 IPS |
|
|
Machine Translation (Q)
|
65% |
3912
78.6 IPS |
