ASUS System Product Name
Geekbench AI Score
9949
Single Precision Score
10480
Half Precision Score
17300
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 24 2025 12:32 AM |
| Views | 3 |
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. ROG MAXIMUS Z890 HERO |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) 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% |
6319
1.18 KIPS |
|
|
Image Classification (HP)
|
100% |
7083
1.32 KIPS |
|
|
Image Classification (Q)
|
100% |
10679
1.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8508
137.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4941
80.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
13791
223.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
15211
17.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
14922
17.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
32724
38.3 IPS |
|
|
Object Detection (SP)
|
100% |
6322
501.5 IPS |
|
|
Object Detection (HP)
|
100% |
7473
592.8 IPS |
|
|
Object Detection (Q)
|
88% |
11662
934.8 IPS |
|
|
Face Detection (SP)
|
100% |
17085
203.0 IPS |
|
|
Face Detection (HP)
|
100% |
21423
254.6 IPS |
|
|
Face Detection (Q)
|
100% |
31971
379.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
15240
117.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
17778
137.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
32743
254.6 IPS |
|
|
Style Transfer (SP)
|
100% |
42950
55.2 IPS |
|
|
Style Transfer (HP)
|
100% |
42509
54.6 IPS |
|
|
Style Transfer (Q)
|
98% |
94746
122.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9245
341.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9431
348.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17913
663.4 IPS |
|
|
Text Classification (SP)
|
100% |
4351
5.81 KIPS |
|
|
Text Classification (HP)
|
100% |
3462
4.62 KIPS |
|
|
Text Classification (Q)
|
92% |
6167
8.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
4088
70.4 IPS |
|
|
Machine Translation (HP)
|
100% |
7752
133.5 IPS |
|
|
Machine Translation (Q)
|
100% |
3901
67.2 IPS |
