ASUS System Product Name
Geekbench AI Score
10501
Single Precision Score
8709
Half Precision Score
13535
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | SkatterBencher |
| Upload Date | April 12 2025 02:50 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z890 APEX |
| Power Plan | High performance |
| 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% |
6548
1.22 KIPS |
|
|
Image Classification (HP)
|
100% |
6992
1.30 KIPS |
|
|
Image Classification (Q)
|
100% |
10111
1.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9075
147.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2708
43.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3601
58.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
16047
18.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
33797
39.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
72083
84.4 IPS |
|
|
Object Detection (SP)
|
100% |
6816
540.7 IPS |
|
|
Object Detection (HP)
|
100% |
5037
399.5 IPS |
|
|
Object Detection (Q)
|
89% |
9130
731.2 IPS |
|
|
Face Detection (SP)
|
100% |
18730
222.6 IPS |
|
|
Face Detection (HP)
|
100% |
14739
175.1 IPS |
|
|
Face Detection (Q)
|
100% |
28887
343.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
16647
128.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
17624
135.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
33490
260.5 IPS |
|
|
Style Transfer (SP)
|
100% |
44533
57.2 IPS |
|
|
Style Transfer (HP)
|
100% |
52671
67.7 IPS |
|
|
Style Transfer (Q)
|
98% |
92217
118.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9603
354.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12687
468.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21582
799.2 IPS |
|
|
Text Classification (SP)
|
100% |
4454
5.94 KIPS |
|
|
Text Classification (HP)
|
100% |
1358
1.81 KIPS |
|
|
Text Classification (Q)
|
92% |
1350
1.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
4225
72.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3307
57.0 IPS |
|
|
Machine Translation (Q)
|
100% |
3313
57.1 IPS |
