ASUS System Product Name
Geekbench AI Score
4796
Single Precision Score
8508
Half Precision Score
12358
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | teknoseyir |
| Upload Date | October 17 2024 12:33 AM |
| Views | 4 |
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 HERO |
| Power Plan | Dengeli |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 245K |
| Topology | 1 Processor, 14 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3387
629.8 IPS |
|
|
Image Classification (HP)
|
100% |
6162
1.15 KIPS |
|
|
Image Classification (Q)
|
56% |
5789
1.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3190
51.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2373
38.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3098
50.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6025
7.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
33623
39.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
71198
83.4 IPS |
|
|
Object Detection (SP)
|
100% |
3180
252.2 IPS |
|
|
Object Detection (HP)
|
100% |
5193
411.9 IPS |
|
|
Object Detection (Q)
|
87% |
7573
607.8 IPS |
|
|
Face Detection (SP)
|
100% |
9714
115.4 IPS |
|
|
Face Detection (HP)
|
100% |
13204
156.9 IPS |
|
|
Face Detection (Q)
|
100% |
24159
287.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8183
63.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
18716
144.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
32869
255.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18328
23.6 IPS |
|
|
Style Transfer (HP)
|
100% |
53715
69.1 IPS |
|
|
Style Transfer (Q)
|
98% |
95784
123.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3796
140.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12740
470.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21547
798.0 IPS |
|
|
Text Classification (SP)
|
100% |
2220
2.96 KIPS |
|
|
Text Classification (HP)
|
100% |
1997
2.67 KIPS |
|
|
Text Classification (Q)
|
92% |
2220
2.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
2535
43.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2306
39.7 IPS |
|
|
Machine Translation (Q)
|
100% |
2363
40.7 IPS |
