ASUS System Product Name
Geekbench AI Score
9727
Single Precision Score
10231
Half Precision Score
15637
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | mnin |
| Upload Date | June 19 2025 10:17 PM |
| Views | 9 |
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 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% |
6080
1.13 KIPS |
|
|
Image Classification (HP)
|
100% |
7175
1.33 KIPS |
|
|
Image Classification (Q)
|
100% |
9951
1.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8653
140.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2989
48.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4023
65.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
14929
17.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
34484
40.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
74386
87.1 IPS |
|
|
Object Detection (SP)
|
100% |
6343
503.2 IPS |
|
|
Object Detection (HP)
|
100% |
6143
487.3 IPS |
|
|
Object Detection (Q)
|
87% |
9984
801.3 IPS |
|
|
Face Detection (SP)
|
100% |
17159
203.9 IPS |
|
|
Face Detection (HP)
|
100% |
17302
205.6 IPS |
|
|
Face Detection (Q)
|
100% |
29973
356.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
15512
119.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
20063
154.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
36866
286.9 IPS |
|
|
Style Transfer (SP)
|
100% |
42640
54.8 IPS |
|
|
Style Transfer (HP)
|
100% |
54986
70.7 IPS |
|
|
Style Transfer (Q)
|
98% |
100403
129.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9011
332.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14247
526.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
26134
967.8 IPS |
|
|
Text Classification (SP)
|
100% |
4089
5.46 KIPS |
|
|
Text Classification (HP)
|
100% |
2202
2.94 KIPS |
|
|
Text Classification (Q)
|
92% |
2197
2.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
3643
62.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4621
79.6 IPS |
|
|
Machine Translation (Q)
|
100% |
4616
79.5 IPS |
