ASUS System Product Name
Geekbench AI Score
5975
Single Precision Score
8915
Half Precision Score
14175
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 16 2026 07:13 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ProArt Z890-CREATOR WIFI |
| Power Plan | High performance |
| 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 | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4000
743.8 IPS |
|
|
Image Classification (HP)
|
100% |
5806
1.08 KIPS |
|
|
Image Classification (Q)
|
100% |
8059
1.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4160
67.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
8957
145.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
11856
192.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
12193
14.2 IPS |
|
|
Pose Estimation (HP)
|
99% |
11404
13.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
36870
43.2 IPS |
|
|
Object Detection (SP)
|
100% |
3598
285.4 IPS |
|
|
Object Detection (HP)
|
100% |
5156
409.0 IPS |
|
|
Object Detection (Q)
|
88% |
9776
783.4 IPS |
|
|
Face Detection (SP)
|
100% |
8565
101.8 IPS |
|
|
Face Detection (HP)
|
100% |
15756
187.2 IPS |
|
|
Face Detection (Q)
|
100% |
26407
313.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
12820
98.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
21664
167.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
25950
201.7 IPS |
|
|
Style Transfer (SP)
|
100% |
31902
41.0 IPS |
|
|
Style Transfer (HP)
|
100% |
39104
50.3 IPS |
|
|
Style Transfer (Q)
|
98% |
87644
113.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5316
196.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7928
292.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15143
560.8 IPS |
|
|
Text Classification (SP)
|
71% |
1542
2.23 KIPS |
|
|
Text Classification (HP)
|
71% |
2547
3.68 KIPS |
|
|
Text Classification (Q)
|
92% |
2710
3.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
2771
47.7 IPS |
|
|
Machine Translation (HP)
|
98% |
3850
66.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3861
66.7 IPS |
