ASUS System Product Name
Geekbench AI Score
6191
Single Precision Score
2357
Half Precision Score
7818
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Roberto_Sampaio |
| Upload Date | November 06 2024 09:09 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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% |
3251
604.7 IPS |
|
|
Image Classification (HP)
|
100% |
787
146.4 IPS |
|
|
Image Classification (Q)
|
99% |
5781
1.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2765
44.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1606
26.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
4651
75.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
15775
18.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
8226
9.60 IPS |
|
|
Pose Estimation (Q)
|
95% |
54307
63.7 IPS |
|
|
Object Detection (SP)
|
100% |
3901
309.5 IPS |
|
|
Object Detection (HP)
|
100% |
1045
82.9 IPS |
|
|
Object Detection (Q)
|
88% |
3213
257.5 IPS |
|
|
Face Detection (SP)
|
100% |
7196
85.5 IPS |
|
|
Face Detection (HP)
|
100% |
2520
29.9 IPS |
|
|
Face Detection (Q)
|
97% |
7087
84.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
14795
114.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3397
26.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
14341
114.8 IPS |
|
|
Style Transfer (SP)
|
100% |
36071
46.4 IPS |
|
|
Style Transfer (HP)
|
100% |
20865
26.8 IPS |
|
|
Style Transfer (Q)
|
98% |
33762
43.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5766
212.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2982
110.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7404
274.2 IPS |
|
|
Text Classification (SP)
|
100% |
2125
2.84 KIPS |
|
|
Text Classification (HP)
|
100% |
824
1.10 KIPS |
|
|
Text Classification (Q)
|
97% |
1866
2.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
3183
54.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1112
19.2 IPS |
|
|
Machine Translation (Q)
|
60% |
3840
85.7 IPS |
