ASUS System Product Name
Geekbench AI Score
6559
Single Precision Score
8797
Half Precision Score
13362
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 27 2024 08:56 AM |
| Views | 2 |
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 STRIX Z890-E GAMING WIFI |
| 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% |
4302
800.0 IPS |
|
|
Image Classification (HP)
|
100% |
5781
1.08 KIPS |
|
|
Image Classification (Q)
|
100% |
8136
1.51 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5298
85.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2504
40.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3363
54.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8469
9.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
32118
37.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
67907
79.5 IPS |
|
|
Object Detection (SP)
|
100% |
4061
322.1 IPS |
|
|
Object Detection (HP)
|
100% |
5387
427.3 IPS |
|
|
Object Detection (Q)
|
87% |
8250
662.1 IPS |
|
|
Face Detection (SP)
|
100% |
12466
148.1 IPS |
|
|
Face Detection (HP)
|
100% |
14158
168.2 IPS |
|
|
Face Detection (Q)
|
100% |
23726
281.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
10463
80.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
17432
134.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
31570
245.6 IPS |
|
|
Style Transfer (SP)
|
100% |
24630
31.7 IPS |
|
|
Style Transfer (HP)
|
100% |
50166
64.5 IPS |
|
|
Style Transfer (Q)
|
98% |
93376
120.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5170
190.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13276
490.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23699
877.7 IPS |
|
|
Text Classification (SP)
|
100% |
4126
5.51 KIPS |
|
|
Text Classification (HP)
|
100% |
1973
2.63 KIPS |
|
|
Text Classification (Q)
|
92% |
2070
2.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
2746
47.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3418
58.9 IPS |
|
|
Machine Translation (Q)
|
100% |
3452
59.5 IPS |
