ASUS System Product Name
Geekbench AI Score
10102
Single Precision Score
10095
Half Precision Score
15249
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | SkatterBencher |
| Upload Date | May 03 2025 06:41 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% |
6288
1.17 KIPS |
|
|
Image Classification (HP)
|
100% |
7187
1.34 KIPS |
|
|
Image Classification (Q)
|
100% |
9936
1.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8843
143.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2837
46.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3564
57.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
15745
18.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
35118
41.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
75351
88.3 IPS |
|
|
Object Detection (SP)
|
100% |
6449
511.5 IPS |
|
|
Object Detection (HP)
|
100% |
6121
485.5 IPS |
|
|
Object Detection (Q)
|
87% |
10109
811.3 IPS |
|
|
Face Detection (SP)
|
100% |
17365
206.3 IPS |
|
|
Face Detection (HP)
|
100% |
18309
217.5 IPS |
|
|
Face Detection (Q)
|
100% |
34000
404.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
15684
120.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
18825
145.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
35035
272.6 IPS |
|
|
Style Transfer (SP)
|
100% |
43482
55.9 IPS |
|
|
Style Transfer (HP)
|
100% |
54144
69.6 IPS |
|
|
Style Transfer (Q)
|
98% |
93722
120.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9350
345.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14280
527.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23545
871.9 IPS |
|
|
Text Classification (SP)
|
100% |
4306
5.75 KIPS |
|
|
Text Classification (HP)
|
100% |
2113
2.82 KIPS |
|
|
Text Classification (Q)
|
92% |
2126
2.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
4112
70.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4456
76.8 IPS |
|
|
Machine Translation (Q)
|
100% |
4511
77.7 IPS |
