ASUS System Product Name
Geekbench AI Score
10047
Single Precision Score
10354
Half Precision Score
17630
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 15 2025 03:08 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. ROG STRIX Z890-A GAMING WIFI |
| Power Plan | Bilanciato |
| 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% |
6620
1.23 KIPS |
|
|
Image Classification (HP)
|
100% |
7540
1.40 KIPS |
|
|
Image Classification (Q)
|
100% |
11249
2.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8915
144.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
5155
83.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
13674
221.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
15856
18.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
16085
18.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
33850
39.7 IPS |
|
|
Object Detection (SP)
|
100% |
5201
412.5 IPS |
|
|
Object Detection (HP)
|
100% |
4997
396.4 IPS |
|
|
Object Detection (Q)
|
88% |
12372
991.7 IPS |
|
|
Face Detection (SP)
|
100% |
17883
212.5 IPS |
|
|
Face Detection (HP)
|
100% |
21349
253.7 IPS |
|
|
Face Detection (Q)
|
100% |
31793
377.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
16095
124.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
18909
145.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
32705
254.3 IPS |
|
|
Style Transfer (SP)
|
100% |
44052
56.6 IPS |
|
|
Style Transfer (HP)
|
100% |
44638
57.4 IPS |
|
|
Style Transfer (Q)
|
98% |
93582
120.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9511
351.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9586
354.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18575
687.9 IPS |
|
|
Text Classification (SP)
|
100% |
4294
5.73 KIPS |
|
|
Text Classification (HP)
|
100% |
3367
4.49 KIPS |
|
|
Text Classification (Q)
|
92% |
6180
8.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
4160
71.7 IPS |
|
|
Machine Translation (HP)
|
100% |
7794
134.3 IPS |
|
|
Machine Translation (Q)
|
100% |
4033
69.5 IPS |
