ASUS System Product Name
Geekbench AI Score
5842
Single Precision Score
1759
Half Precision Score
9375
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | leeghoofd |
| Upload Date | August 12 2025 08:35 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% |
4965
923.3 IPS |
|
|
Image Classification (HP)
|
100% |
702
130.5 IPS |
|
|
Image Classification (Q)
|
99% |
7160
1.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2393
38.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1098
17.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
12842
208.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10928
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
4624
5.40 IPS |
|
|
Pose Estimation (Q)
|
94% |
32077
37.6 IPS |
|
|
Object Detection (SP)
|
100% |
4546
360.6 IPS |
|
|
Object Detection (HP)
|
100% |
838
66.5 IPS |
|
|
Object Detection (Q)
|
86% |
7785
625.7 IPS |
|
|
Face Detection (SP)
|
100% |
14206
168.8 IPS |
|
|
Face Detection (HP)
|
100% |
1833
21.8 IPS |
|
|
Face Detection (Q)
|
97% |
11348
135.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
13144
101.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2260
17.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
18541
148.0 IPS |
|
|
Style Transfer (SP)
|
100% |
24736
31.8 IPS |
|
|
Style Transfer (HP)
|
100% |
11804
15.2 IPS |
|
|
Style Transfer (Q)
|
98% |
28022
36.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3916
144.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2269
83.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5939
219.9 IPS |
|
|
Text Classification (SP)
|
100% |
1733
2.31 KIPS |
|
|
Text Classification (HP)
|
100% |
788
1.05 KIPS |
|
|
Text Classification (Q)
|
97% |
1633
2.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
2503
43.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1089
18.8 IPS |
|
|
Machine Translation (Q)
|
65% |
3997
80.3 IPS |
