ASUS System Product Name
Geekbench AI Score
5786
Single Precision Score
8562
Half Precision Score
12110
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | teknoseyir |
| Upload Date | October 16 2024 09:51 PM |
| Views | 14 |
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 7 265K |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4174
776.3 IPS |
|
|
Image Classification (HP)
|
100% |
6140
1.14 KIPS |
|
|
Image Classification (Q)
|
56% |
5813
1.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3935
63.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2470
40.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2973
48.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8344
9.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
33678
39.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
71286
83.5 IPS |
|
|
Object Detection (SP)
|
100% |
4105
325.6 IPS |
|
|
Object Detection (HP)
|
100% |
4982
395.2 IPS |
|
|
Object Detection (Q)
|
87% |
7134
572.5 IPS |
|
|
Face Detection (SP)
|
100% |
13152
156.3 IPS |
|
|
Face Detection (HP)
|
100% |
13841
164.5 IPS |
|
|
Face Detection (Q)
|
100% |
21421
254.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
10858
83.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
18138
139.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
32529
253.1 IPS |
|
|
Style Transfer (SP)
|
100% |
25389
32.6 IPS |
|
|
Style Transfer (HP)
|
100% |
53234
68.4 IPS |
|
|
Style Transfer (Q)
|
98% |
95758
123.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5231
193.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12282
453.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21838
808.8 IPS |
|
|
Text Classification (SP)
|
100% |
1510
2.01 KIPS |
|
|
Text Classification (HP)
|
100% |
2117
2.83 KIPS |
|
|
Text Classification (Q)
|
92% |
2117
2.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
2613
45.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2397
41.3 IPS |
|
|
Machine Translation (Q)
|
100% |
2504
43.1 IPS |
