ASUS System Product Name
Geekbench AI Score
5595
Single Precision Score
2009
Half Precision Score
6182
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Kos72 |
| Upload Date | March 31 2025 04:28 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 eccellenti |
| 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% |
3244
603.4 IPS |
|
|
Image Classification (HP)
|
100% |
737
137.0 IPS |
|
|
Image Classification (Q)
|
99% |
4063
757.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2831
45.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1290
20.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
4443
72.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
13417
15.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
5245
6.12 IPS |
|
|
Pose Estimation (Q)
|
95% |
44297
51.9 IPS |
|
|
Object Detection (SP)
|
100% |
3881
307.8 IPS |
|
|
Object Detection (HP)
|
100% |
987
78.3 IPS |
|
|
Object Detection (Q)
|
88% |
3110
249.3 IPS |
|
|
Face Detection (SP)
|
100% |
5769
68.6 IPS |
|
|
Face Detection (HP)
|
100% |
2407
28.6 IPS |
|
|
Face Detection (Q)
|
97% |
6907
82.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
13651
105.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2932
22.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
14890
119.2 IPS |
|
|
Style Transfer (SP)
|
100% |
32088
41.2 IPS |
|
|
Style Transfer (HP)
|
100% |
13670
17.6 IPS |
|
|
Style Transfer (Q)
|
98% |
41210
53.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5190
191.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2599
96.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6231
230.7 IPS |
|
|
Text Classification (SP)
|
100% |
1550
2.07 KIPS |
|
|
Text Classification (HP)
|
100% |
873
1.16 KIPS |
|
|
Text Classification (Q)
|
97% |
376
503.0 IPS |
|
|
Machine Translation (SP)
|
100% |
3095
53.3 IPS |
|
|
Machine Translation (HP)
|
100% |
995
17.1 IPS |
|
|
Machine Translation (Q)
|
60% |
3305
73.7 IPS |
