ASUS System Product Name
Geekbench AI Score
8819
Single Precision Score
9755
Half Precision Score
14178
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Roberto_Sampaio |
| Upload Date | November 15 2024 05:01 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| 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% |
6048
1.12 KIPS |
|
|
Image Classification (HP)
|
100% |
7024
1.31 KIPS |
|
|
Image Classification (Q)
|
56% |
6297
1.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6648
107.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2827
45.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3741
60.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
15372
17.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
34232
39.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
73663
86.3 IPS |
|
|
Object Detection (SP)
|
100% |
5745
455.7 IPS |
|
|
Object Detection (HP)
|
100% |
5532
438.8 IPS |
|
|
Object Detection (Q)
|
87% |
9469
760.0 IPS |
|
|
Face Detection (SP)
|
100% |
17445
207.3 IPS |
|
|
Face Detection (HP)
|
100% |
16190
192.4 IPS |
|
|
Face Detection (Q)
|
100% |
26761
318.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
16433
126.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
20144
155.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
35048
272.7 IPS |
|
|
Style Transfer (SP)
|
100% |
43539
56.0 IPS |
|
|
Style Transfer (HP)
|
100% |
55053
70.8 IPS |
|
|
Style Transfer (Q)
|
98% |
99537
128.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8961
330.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14100
520.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25101
929.6 IPS |
|
|
Text Classification (SP)
|
100% |
1934
2.58 KIPS |
|
|
Text Classification (HP)
|
100% |
2245
3.00 KIPS |
|
|
Text Classification (Q)
|
92% |
2339
3.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
3709
63.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3653
62.9 IPS |
|
|
Machine Translation (Q)
|
100% |
3645
62.8 IPS |
