ASUS System Product Name
Geekbench AI Score
5682
Single Precision Score
9078
Half Precision Score
14089
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | jrybolt |
| Upload Date | February 09 2026 03:17 PM |
| Views | 4 |
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. 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% |
3686
685.6 IPS |
|
|
Image Classification (HP)
|
100% |
5875
1.09 KIPS |
|
|
Image Classification (Q)
|
100% |
7969
1.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3570
57.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
8453
137.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
11794
191.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
12151
14.2 IPS |
|
|
Pose Estimation (HP)
|
99% |
11417
13.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
38450
45.0 IPS |
|
|
Object Detection (SP)
|
100% |
3494
277.1 IPS |
|
|
Object Detection (HP)
|
100% |
5783
458.7 IPS |
|
|
Object Detection (Q)
|
88% |
9457
757.8 IPS |
|
|
Face Detection (SP)
|
100% |
7448
88.5 IPS |
|
|
Face Detection (HP)
|
100% |
15205
180.7 IPS |
|
|
Face Detection (Q)
|
100% |
24943
296.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
12294
94.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
21453
165.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
26335
204.7 IPS |
|
|
Style Transfer (SP)
|
100% |
31152
40.0 IPS |
|
|
Style Transfer (HP)
|
100% |
39344
50.6 IPS |
|
|
Style Transfer (Q)
|
98% |
92852
119.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5214
192.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9190
339.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15504
574.2 IPS |
|
|
Text Classification (SP)
|
71% |
1595
2.31 KIPS |
|
|
Text Classification (HP)
|
71% |
2652
3.84 KIPS |
|
|
Text Classification (Q)
|
92% |
2577
3.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
2648
45.6 IPS |
|
|
Machine Translation (HP)
|
98% |
3710
64.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3703
64.0 IPS |
