ASUS System Product Name
Geekbench AI Score
8194
Single Precision Score
8282
Half Precision Score
15787
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Roberto_Sampaio |
| Upload Date | November 09 2024 07:50 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 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z890 APEX |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4626
860.2 IPS |
|
|
Image Classification (HP)
|
100% |
4579
851.6 IPS |
|
|
Image Classification (Q)
|
100% |
10622
1.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5885
95.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
5878
95.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
8860
143.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
13261
15.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
13292
15.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
30906
36.2 IPS |
|
|
Object Detection (SP)
|
100% |
5879
466.3 IPS |
|
|
Object Detection (HP)
|
100% |
5865
465.2 IPS |
|
|
Object Detection (Q)
|
88% |
11343
909.3 IPS |
|
|
Face Detection (SP)
|
100% |
17339
206.0 IPS |
|
|
Face Detection (HP)
|
100% |
17320
205.8 IPS |
|
|
Face Detection (Q)
|
100% |
29621
352.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
16246
125.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
15854
122.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
31612
245.8 IPS |
|
|
Style Transfer (SP)
|
100% |
43664
56.1 IPS |
|
|
Style Transfer (HP)
|
100% |
41088
52.8 IPS |
|
|
Style Transfer (Q)
|
98% |
94181
121.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7334
270.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8634
318.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17800
659.2 IPS |
|
|
Text Classification (SP)
|
100% |
1917
2.56 KIPS |
|
|
Text Classification (HP)
|
100% |
1993
2.66 KIPS |
|
|
Text Classification (Q)
|
92% |
4996
6.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
3718
64.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3729
64.2 IPS |
|
|
Machine Translation (Q)
|
100% |
3717
64.0 IPS |
