ASUS System Product Name
Geekbench AI Score
10586
Single Precision Score
2330
Half Precision Score
3572
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | SkatterBencher |
| Upload Date | April 27 2025 06:55 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% |
6648
1.24 KIPS |
|
|
Image Classification (HP)
|
100% |
1616
300.5 IPS |
|
|
Image Classification (Q)
|
100% |
2412
448.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
9152
148.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
614
9.96 IPS |
|
|
Image Segmentation (Q)
|
99% |
759
12.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
16233
18.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
7423
8.66 IPS |
|
|
Pose Estimation (Q)
|
96% |
16198
19.0 IPS |
|
|
Object Detection (SP)
|
100% |
6961
552.1 IPS |
|
|
Object Detection (HP)
|
100% |
1369
108.6 IPS |
|
|
Object Detection (Q)
|
87% |
2265
181.8 IPS |
|
|
Face Detection (SP)
|
100% |
19069
226.6 IPS |
|
|
Face Detection (HP)
|
100% |
4090
48.6 IPS |
|
|
Face Detection (Q)
|
100% |
7879
93.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
16896
130.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
4473
34.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
8338
64.9 IPS |
|
|
Style Transfer (SP)
|
100% |
45332
58.3 IPS |
|
|
Style Transfer (HP)
|
100% |
13059
16.8 IPS |
|
|
Style Transfer (Q)
|
98% |
22385
28.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9695
358.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3155
116.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5455
202.0 IPS |
|
|
Text Classification (SP)
|
100% |
4435
5.92 KIPS |
|
|
Text Classification (HP)
|
100% |
576
768.7 IPS |
|
|
Text Classification (Q)
|
92% |
578
776.9 IPS |
|
|
Machine Translation (SP)
|
100% |
4097
70.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1078
18.6 IPS |
|
|
Machine Translation (Q)
|
100% |
1086
18.7 IPS |
