ASUS System Product Name
Geekbench AI Score
9511
Single Precision Score
9857
Half Precision Score
16679
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 17 2025 11:02 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING Z890-PRO WIFI |
| Power Plan | Vyven |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5881
1.09 KIPS |
|
|
Image Classification (HP)
|
100% |
6671
1.24 KIPS |
|
|
Image Classification (Q)
|
100% |
10541
1.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8146
132.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4690
76.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
12701
205.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
14792
17.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
14200
16.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
31247
36.6 IPS |
|
|
Object Detection (SP)
|
100% |
5505
436.7 IPS |
|
|
Object Detection (HP)
|
100% |
6995
554.9 IPS |
|
|
Object Detection (Q)
|
88% |
11347
909.6 IPS |
|
|
Face Detection (SP)
|
100% |
16372
194.5 IPS |
|
|
Face Detection (HP)
|
100% |
19525
232.0 IPS |
|
|
Face Detection (Q)
|
100% |
29944
355.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
14792
114.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
16921
130.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
30937
240.5 IPS |
|
|
Style Transfer (SP)
|
100% |
42085
54.1 IPS |
|
|
Style Transfer (HP)
|
100% |
40079
51.5 IPS |
|
|
Style Transfer (Q)
|
98% |
90341
116.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8485
313.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8703
321.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17390
644.0 IPS |
|
|
Text Classification (SP)
|
100% |
4265
5.69 KIPS |
|
|
Text Classification (HP)
|
100% |
3333
4.45 KIPS |
|
|
Text Classification (Q)
|
92% |
6128
8.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
4212
72.6 IPS |
|
|
Machine Translation (HP)
|
100% |
7260
125.1 IPS |
|
|
Machine Translation (Q)
|
100% |
3937
67.8 IPS |
