ASUS System Product Name
Geekbench AI Score
5544
Single Precision Score
2014
Half Precision Score
7967
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | mnin |
| Upload Date | December 08 2024 08:01 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285K |
| 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 | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3725
692.8 IPS |
|
|
Image Classification (HP)
|
100% |
563
104.7 IPS |
|
|
Image Classification (Q)
|
99% |
6706
1.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2448
39.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1424
23.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
4637
75.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
13580
15.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
6373
7.44 IPS |
|
|
Pose Estimation (Q)
|
94% |
41296
48.4 IPS |
|
|
Object Detection (SP)
|
100% |
4803
381.0 IPS |
|
|
Object Detection (HP)
|
100% |
841
66.7 IPS |
|
|
Object Detection (Q)
|
86% |
6872
552.3 IPS |
|
|
Face Detection (SP)
|
100% |
8598
102.2 IPS |
|
|
Face Detection (HP)
|
100% |
2332
27.7 IPS |
|
|
Face Detection (Q)
|
97% |
11289
134.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
10885
83.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3037
23.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
17177
137.1 IPS |
|
|
Style Transfer (SP)
|
100% |
30126
38.7 IPS |
|
|
Style Transfer (HP)
|
100% |
15947
20.5 IPS |
|
|
Style Transfer (Q)
|
98% |
28775
37.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4398
162.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2356
87.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3758
139.1 IPS |
|
|
Text Classification (SP)
|
100% |
1619
2.16 KIPS |
|
|
Text Classification (HP)
|
100% |
831
1.11 KIPS |
|
|
Text Classification (Q)
|
97% |
1507
2.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
2299
39.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1158
20.0 IPS |
|
|
Machine Translation (Q)
|
65% |
3697
74.3 IPS |
