ASUS System Product Name
Geekbench AI Score
6404
Single Precision Score
7257
Half Precision Score
9987
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | ssuper2k |
| Upload Date | November 16 2024 08:57 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z890 HERO |
| Power Plan | Balanced |
| 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% |
4528
842.1 IPS |
|
|
Image Classification (HP)
|
100% |
5598
1.04 KIPS |
|
|
Image Classification (Q)
|
56% |
4222
1.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4609
74.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2130
34.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2392
38.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8669
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
32347
37.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
67284
78.8 IPS |
|
|
Object Detection (SP)
|
100% |
3688
292.6 IPS |
|
|
Object Detection (HP)
|
100% |
3967
314.7 IPS |
|
|
Object Detection (Q)
|
87% |
7005
562.2 IPS |
|
|
Face Detection (SP)
|
100% |
13712
162.9 IPS |
|
|
Face Detection (HP)
|
100% |
9164
108.9 IPS |
|
|
Face Detection (Q)
|
100% |
16149
191.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
11415
87.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
17315
133.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
31879
248.1 IPS |
|
|
Style Transfer (SP)
|
100% |
25598
32.9 IPS |
|
|
Style Transfer (HP)
|
100% |
51248
65.9 IPS |
|
|
Style Transfer (Q)
|
98% |
89194
115.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5442
201.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11474
423.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18945
701.6 IPS |
|
|
Text Classification (SP)
|
100% |
1616
2.16 KIPS |
|
|
Text Classification (HP)
|
100% |
1741
2.32 KIPS |
|
|
Text Classification (Q)
|
92% |
1840
2.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
4935
85.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1631
28.1 IPS |
|
|
Machine Translation (Q)
|
100% |
1296
22.3 IPS |
