ASUS System Product Name
Geekbench AI Score
5168
Single Precision Score
7122
Half Precision Score
3461
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 28 2026 04:53 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME Z890-P WIFI |
| CPU Information | |
|---|---|
| Name | Intel Core 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3074
571.7 IPS |
|
|
Image Classification (HP)
|
100% |
4536
843.5 IPS |
|
|
Image Classification (Q)
|
99% |
2215
413.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3655
59.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
5901
95.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2502
40.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9055
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
14153
16.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
8005
9.38 IPS |
|
|
Object Detection (SP)
|
100% |
3195
253.4 IPS |
|
|
Object Detection (HP)
|
100% |
4792
380.1 IPS |
|
|
Object Detection (Q)
|
86% |
2372
190.7 IPS |
|
|
Face Detection (SP)
|
100% |
6334
75.3 IPS |
|
|
Face Detection (HP)
|
100% |
10118
120.2 IPS |
|
|
Face Detection (Q)
|
97% |
4221
50.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
10655
82.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
16691
129.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
7646
61.3 IPS |
|
|
Style Transfer (SP)
|
100% |
27812
35.8 IPS |
|
|
Style Transfer (HP)
|
100% |
43135
55.5 IPS |
|
|
Style Transfer (Q)
|
98% |
21722
28.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5103
188.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7695
284.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3488
129.2 IPS |
|
|
Text Classification (SP)
|
100% |
1599
2.13 KIPS |
|
|
Text Classification (HP)
|
100% |
1146
1.53 KIPS |
|
|
Text Classification (Q)
|
97% |
858
1.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
2732
47.1 IPS |
|
|
Machine Translation (HP)
|
96% |
2881
49.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1119
21.0 IPS |
