ASUS System Product Name
Geekbench AI Score
9863
Single Precision Score
11195
Half Precision Score
17099
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | jrybolt |
| Upload Date | February 09 2026 03:10 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME Z890-P WIFI |
| Power Plan | Balanced |
| 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6646
1.24 KIPS |
|
|
Image Classification (HP)
|
100% |
8102
1.51 KIPS |
|
|
Image Classification (Q)
|
100% |
10929
2.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8540
138.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4958
80.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
13418
217.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
15180
17.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
15915
18.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
33900
39.7 IPS |
|
|
Object Detection (SP)
|
100% |
6017
477.2 IPS |
|
|
Object Detection (HP)
|
100% |
8030
636.9 IPS |
|
|
Object Detection (Q)
|
88% |
11639
933.0 IPS |
|
|
Face Detection (SP)
|
100% |
16430
195.2 IPS |
|
|
Face Detection (HP)
|
100% |
22431
266.5 IPS |
|
|
Face Detection (Q)
|
100% |
30468
362.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
14635
112.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
18969
146.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
33869
263.3 IPS |
|
|
Style Transfer (SP)
|
100% |
43219
55.6 IPS |
|
|
Style Transfer (HP)
|
100% |
45054
57.9 IPS |
|
|
Style Transfer (Q)
|
98% |
92784
119.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9054
334.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10027
370.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18269
676.6 IPS |
|
|
Text Classification (SP)
|
100% |
4218
5.63 KIPS |
|
|
Text Classification (HP)
|
100% |
3941
5.26 KIPS |
|
|
Text Classification (Q)
|
92% |
6058
8.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
4238
73.0 IPS |
|
|
Machine Translation (HP)
|
100% |
7952
137.0 IPS |
|
|
Machine Translation (Q)
|
100% |
3485
60.0 IPS |
