ASUS System Product Name
Geekbench AI Score
10168
Single Precision Score
8253
Half Precision Score
17288
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 27 2025 11:26 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 10 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX Z890-E GAMING WIFI |
| Power Plan | Equilibrado |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6332
1.18 KIPS |
|
|
Image Classification (HP)
|
100% |
3551
660.4 IPS |
|
|
Image Classification (Q)
|
100% |
10548
1.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8429
136.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
5015
81.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
12864
208.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
16595
19.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
15054
17.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
33359
39.1 IPS |
|
|
Object Detection (SP)
|
100% |
5996
475.6 IPS |
|
|
Object Detection (HP)
|
100% |
4197
332.9 IPS |
|
|
Object Detection (Q)
|
88% |
11344
909.3 IPS |
|
|
Face Detection (SP)
|
100% |
17797
211.5 IPS |
|
|
Face Detection (HP)
|
100% |
10621
126.2 IPS |
|
|
Face Detection (Q)
|
100% |
32056
380.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
17151
132.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
14173
109.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
33602
261.2 IPS |
|
|
Style Transfer (SP)
|
100% |
47680
61.3 IPS |
|
|
Style Transfer (HP)
|
100% |
40051
51.5 IPS |
|
|
Style Transfer (Q)
|
98% |
96058
123.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9840
363.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9945
367.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18088
669.9 IPS |
|
|
Text Classification (SP)
|
100% |
4059
5.42 KIPS |
|
|
Text Classification (HP)
|
100% |
3455
4.61 KIPS |
|
|
Text Classification (Q)
|
92% |
6381
8.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
3829
66.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6290
108.3 IPS |
|
|
Machine Translation (Q)
|
100% |
3890
67.0 IPS |
