ASUS System Product Name
Geekbench AI Score
17065
Single Precision Score
28718
Half Precision Score
13095
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | December 27 2024 08:07 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z890 HERO |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 285K |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6878
1.28 KIPS |
|
|
Image Classification (HP)
|
99% |
12120
2.26 KIPS |
|
|
Image Classification (Q)
|
100% |
6053
1.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11731
190.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
15957
258.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
10868
176.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
84959
99.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
236186
275.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
76575
89.7 IPS |
|
|
Object Detection (SP)
|
100% |
8379
664.6 IPS |
|
|
Object Detection (HP)
|
100% |
14200
1.13 KIPS |
|
|
Object Detection (Q)
|
89% |
6995
559.9 IPS |
|
|
Face Detection (SP)
|
100% |
18924
224.9 IPS |
|
|
Face Detection (HP)
|
100% |
29198
346.9 IPS |
|
|
Face Detection (Q)
|
97% |
15258
181.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
37904
292.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
77149
594.4 IPS |
|
|
Depth Estimation (Q)
|
76% |
31736
255.0 IPS |
|
|
Style Transfer (SP)
|
100% |
141724
182.2 IPS |
|
|
Style Transfer (HP)
|
100% |
359305
461.9 IPS |
|
|
Style Transfer (Q)
|
98% |
126233
162.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28964
1.07 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
47041
1.74 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20960
776.1 IPS |
|
|
Text Classification (SP)
|
100% |
3323
4.44 KIPS |
|
|
Text Classification (HP)
|
99% |
4022
5.37 KIPS |
|
|
Text Classification (Q)
|
97% |
2054
2.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
3727
64.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3842
66.2 IPS |
|
|
Machine Translation (Q)
|
60% |
1599
35.7 IPS |
