ASUS System Product Name
Geekbench AI Score
9716
Single Precision Score
9222
Half Precision Score
16372
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | TeslaGhost |
| Upload Date | November 02 2025 08:50 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285K |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z890 EXTREME |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5993
1.11 KIPS |
|
|
Image Classification (HP)
|
100% |
6101
1.13 KIPS |
|
|
Image Classification (Q)
|
100% |
11210
2.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8557
138.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4580
74.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
12750
206.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
15044
17.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
12872
15.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
27437
32.1 IPS |
|
|
Object Detection (SP)
|
100% |
5985
474.7 IPS |
|
|
Object Detection (HP)
|
100% |
6576
521.6 IPS |
|
|
Object Detection (Q)
|
88% |
12343
989.4 IPS |
|
|
Face Detection (SP)
|
100% |
17146
203.7 IPS |
|
|
Face Detection (HP)
|
100% |
18546
220.4 IPS |
|
|
Face Detection (Q)
|
100% |
33176
394.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
15831
122.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
15497
119.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
28986
225.4 IPS |
|
|
Style Transfer (SP)
|
100% |
43337
55.7 IPS |
|
|
Style Transfer (HP)
|
100% |
35004
45.0 IPS |
|
|
Style Transfer (Q)
|
98% |
82184
106.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8835
326.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8104
299.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16001
592.6 IPS |
|
|
Text Classification (SP)
|
100% |
4471
5.97 KIPS |
|
|
Text Classification (HP)
|
100% |
3328
4.44 KIPS |
|
|
Text Classification (Q)
|
92% |
6190
8.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
3496
60.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6935
119.5 IPS |
|
|
Machine Translation (Q)
|
100% |
3654
62.9 IPS |
