ASUS System Product Name
Geekbench AI Score
5840
Single Precision Score
1780
Half Precision Score
9418
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | leeghoofd |
| Upload Date | August 12 2025 08:29 PM |
| Views | 11 |
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% |
4908
912.8 IPS |
|
|
Image Classification (HP)
|
100% |
612
113.8 IPS |
|
|
Image Classification (Q)
|
99% |
7700
1.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2388
38.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1132
18.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
13642
221.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11797
13.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
4631
5.40 IPS |
|
|
Pose Estimation (Q)
|
94% |
33310
39.1 IPS |
|
|
Object Detection (SP)
|
100% |
4444
352.5 IPS |
|
|
Object Detection (HP)
|
100% |
865
68.6 IPS |
|
|
Object Detection (Q)
|
86% |
8021
644.6 IPS |
|
|
Face Detection (SP)
|
100% |
13378
159.0 IPS |
|
|
Face Detection (HP)
|
100% |
1772
21.1 IPS |
|
|
Face Detection (Q)
|
97% |
11429
136.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
12748
98.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2330
18.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
19411
154.9 IPS |
|
|
Style Transfer (SP)
|
100% |
25038
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
12139
15.6 IPS |
|
|
Style Transfer (Q)
|
98% |
31750
40.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4070
150.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2211
81.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5286
195.7 IPS |
|
|
Text Classification (SP)
|
100% |
1728
2.31 KIPS |
|
|
Text Classification (HP)
|
100% |
898
1.20 KIPS |
|
|
Text Classification (Q)
|
97% |
1453
1.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
2505
43.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1161
20.0 IPS |
|
|
Machine Translation (Q)
|
65% |
3617
72.7 IPS |
