ASUS System Product Name
Geekbench AI Score
9985
Single Precision Score
9743
Half Precision Score
6792
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 28 2026 04:50 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285K |
| 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% |
7156
1.33 KIPS |
|
|
Image Classification (HP)
|
100% |
8359
1.55 KIPS |
|
|
Image Classification (Q)
|
100% |
3929
730.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
9310
150.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
5273
85.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3153
51.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
12790
14.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
9014
10.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
11378
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
6847
543.1 IPS |
|
|
Object Detection (HP)
|
100% |
8402
666.5 IPS |
|
|
Object Detection (Q)
|
88% |
4104
329.0 IPS |
|
|
Face Detection (SP)
|
100% |
18329
217.8 IPS |
|
|
Face Detection (HP)
|
100% |
20525
243.9 IPS |
|
|
Face Detection (Q)
|
100% |
10428
123.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
14997
115.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
17148
132.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
17033
132.4 IPS |
|
|
Style Transfer (SP)
|
100% |
38197
49.1 IPS |
|
|
Style Transfer (HP)
|
100% |
25577
32.9 IPS |
|
|
Style Transfer (Q)
|
98% |
26499
34.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9333
344.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10032
370.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5606
207.6 IPS |
|
|
Text Classification (SP)
|
100% |
4242
5.66 KIPS |
|
|
Text Classification (HP)
|
100% |
3928
5.24 KIPS |
|
|
Text Classification (Q)
|
92% |
3365
4.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
4064
70.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6515
112.2 IPS |
|
|
Machine Translation (Q)
|
100% |
4073
70.2 IPS |
