ASUS System Product Name
Geekbench AI Score
5984
Single Precision Score
1532
Half Precision Score
7522
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | leeghoofd |
| Upload Date | August 12 2025 08:27 PM |
| Views | 4 |
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% |
4864
904.5 IPS |
|
|
Image Classification (HP)
|
100% |
581
108.0 IPS |
|
|
Image Classification (Q)
|
99% |
7253
1.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2325
37.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
267
4.32 IPS |
|
|
Image Segmentation (Q)
|
98% |
851
13.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11663
13.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
4884
5.70 IPS |
|
|
Pose Estimation (Q)
|
94% |
35275
41.4 IPS |
|
|
Object Detection (SP)
|
100% |
4662
369.8 IPS |
|
|
Object Detection (HP)
|
100% |
823
65.3 IPS |
|
|
Object Detection (Q)
|
86% |
8164
656.1 IPS |
|
|
Face Detection (SP)
|
100% |
14632
173.9 IPS |
|
|
Face Detection (HP)
|
100% |
1892
22.5 IPS |
|
|
Face Detection (Q)
|
97% |
11982
142.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
13960
107.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2376
18.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
20609
164.4 IPS |
|
|
Style Transfer (SP)
|
100% |
26429
34.0 IPS |
|
|
Style Transfer (HP)
|
100% |
12109
15.6 IPS |
|
|
Style Transfer (Q)
|
98% |
31542
40.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4094
151.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2299
84.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6596
244.2 IPS |
|
|
Text Classification (SP)
|
100% |
1766
2.36 KIPS |
|
|
Text Classification (HP)
|
100% |
839
1.12 KIPS |
|
|
Text Classification (Q)
|
97% |
1650
2.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
2454
42.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1091
18.8 IPS |
|
|
Machine Translation (Q)
|
65% |
3853
77.4 IPS |
