ASUS System Product Name
Geekbench AI Score
8699
Single Precision Score
6713
Half Precision Score
15398
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | PackTu |
| Upload Date | December 23 2024 04:58 PM |
| 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 Entreprise (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z890 APEX |
| Power Plan | Utilisation normale |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5460
1.02 KIPS |
|
|
Image Classification (HP)
|
100% |
2755
512.4 IPS |
|
|
Image Classification (Q)
|
100% |
8518
1.58 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7556
122.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3906
63.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
11429
185.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
13921
16.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
12861
15.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
28339
33.2 IPS |
|
|
Object Detection (SP)
|
100% |
5098
404.4 IPS |
|
|
Object Detection (HP)
|
100% |
3369
267.2 IPS |
|
|
Object Detection (Q)
|
88% |
10843
869.2 IPS |
|
|
Face Detection (SP)
|
100% |
15967
189.7 IPS |
|
|
Face Detection (HP)
|
100% |
9047
107.5 IPS |
|
|
Face Detection (Q)
|
100% |
29353
348.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
15022
115.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
11338
87.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
29114
226.3 IPS |
|
|
Style Transfer (SP)
|
100% |
40038
51.5 IPS |
|
|
Style Transfer (HP)
|
100% |
34294
44.1 IPS |
|
|
Style Transfer (Q)
|
98% |
81430
105.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7023
259.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6862
253.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16816
622.8 IPS |
|
|
Text Classification (SP)
|
100% |
3683
4.92 KIPS |
|
|
Text Classification (HP)
|
100% |
3158
4.22 KIPS |
|
|
Text Classification (Q)
|
92% |
6450
8.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
3415
58.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5229
90.1 IPS |
|
|
Machine Translation (Q)
|
100% |
3319
57.2 IPS |
