ASUS System Product Name
Geekbench AI Score
7151
Single Precision Score
2667
Half Precision Score
11879
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 21 2025 08:22 AM |
| Views | 3 |
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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5704
1.06 KIPS |
|
|
Image Classification (HP)
|
100% |
910
169.2 IPS |
|
|
Image Classification (Q)
|
99% |
9226
1.72 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2711
44.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1675
27.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
18017
293.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
15131
17.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
7926
9.25 IPS |
|
|
Pose Estimation (Q)
|
94% |
50800
59.6 IPS |
|
|
Object Detection (SP)
|
100% |
5377
426.5 IPS |
|
|
Object Detection (HP)
|
100% |
1206
95.7 IPS |
|
|
Object Detection (Q)
|
86% |
12185
979.3 IPS |
|
|
Face Detection (SP)
|
100% |
16620
197.5 IPS |
|
|
Face Detection (HP)
|
100% |
2714
32.2 IPS |
|
|
Face Detection (Q)
|
97% |
14513
173.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
16833
129.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3618
27.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
25712
205.2 IPS |
|
|
Style Transfer (SP)
|
100% |
33231
42.7 IPS |
|
|
Style Transfer (HP)
|
100% |
20414
26.2 IPS |
|
|
Style Transfer (Q)
|
98% |
34432
44.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5239
193.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3679
135.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5776
213.9 IPS |
|
|
Text Classification (SP)
|
100% |
1811
2.42 KIPS |
|
|
Text Classification (HP)
|
100% |
1083
1.45 KIPS |
|
|
Text Classification (Q)
|
97% |
1653
2.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
3151
54.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1569
27.0 IPS |
|
|
Machine Translation (Q)
|
65% |
4434
89.1 IPS |
