ASUS System Product Name
Geekbench AI Score
8926
Single Precision Score
8718
Half Precision Score
13641
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | audigy |
| Upload Date | May 05 2025 05:51 AM |
| Views | 6 |
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% |
5456
1.01 KIPS |
|
|
Image Classification (HP)
|
100% |
6728
1.25 KIPS |
|
|
Image Classification (Q)
|
100% |
9682
1.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7182
116.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2660
43.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3662
59.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
14262
16.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
34219
39.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
74576
87.4 IPS |
|
|
Object Detection (SP)
|
100% |
5237
415.4 IPS |
|
|
Object Detection (HP)
|
100% |
5133
407.1 IPS |
|
|
Object Detection (Q)
|
89% |
9023
722.6 IPS |
|
|
Face Detection (SP)
|
100% |
15588
185.2 IPS |
|
|
Face Detection (HP)
|
100% |
14962
177.8 IPS |
|
|
Face Detection (Q)
|
100% |
29179
346.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
13510
104.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
17812
137.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
35018
272.4 IPS |
|
|
Style Transfer (SP)
|
100% |
36817
47.3 IPS |
|
|
Style Transfer (HP)
|
100% |
53068
68.2 IPS |
|
|
Style Transfer (Q)
|
98% |
95320
122.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8484
313.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13259
489.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21894
810.8 IPS |
|
|
Text Classification (SP)
|
100% |
4338
5.79 KIPS |
|
|
Text Classification (HP)
|
100% |
1303
1.74 KIPS |
|
|
Text Classification (Q)
|
92% |
1316
1.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
3846
66.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3302
56.9 IPS |
|
|
Machine Translation (Q)
|
100% |
3334
57.4 IPS |
