ASUS System Product Name
Geekbench AI Score
5711
Single Precision Score
1998
Half Precision Score
7002
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Kos72 |
| Upload Date | April 10 2025 09:59 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% |
2631
489.2 IPS |
|
|
Image Classification (HP)
|
100% |
663
123.3 IPS |
|
|
Image Classification (Q)
|
99% |
5305
989.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2820
45.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1594
25.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
4587
74.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
13977
16.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
5577
6.51 IPS |
|
|
Pose Estimation (Q)
|
95% |
45899
53.8 IPS |
|
|
Object Detection (SP)
|
100% |
4118
326.6 IPS |
|
|
Object Detection (HP)
|
100% |
897
71.1 IPS |
|
|
Object Detection (Q)
|
88% |
3290
263.7 IPS |
|
|
Face Detection (SP)
|
100% |
5929
70.4 IPS |
|
|
Face Detection (HP)
|
100% |
2125
25.3 IPS |
|
|
Face Detection (Q)
|
97% |
7713
92.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
14363
110.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2469
19.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
14088
112.8 IPS |
|
|
Style Transfer (SP)
|
100% |
32408
41.7 IPS |
|
|
Style Transfer (HP)
|
100% |
14599
18.8 IPS |
|
|
Style Transfer (Q)
|
98% |
39063
50.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5302
195.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2802
103.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6979
258.4 IPS |
|
|
Text Classification (SP)
|
100% |
2256
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
989
1.32 KIPS |
|
|
Text Classification (Q)
|
97% |
807
1.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
2621
45.2 IPS |
|
|
Machine Translation (HP)
|
100% |
904
15.6 IPS |
|
|
Machine Translation (Q)
|
60% |
3227
72.0 IPS |
