ASUS System Product Name
Geekbench AI Score
3533
Single Precision Score
7417
Half Precision Score
11758
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 19 2024 10:46 AM |
| Views | 3 |
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. PRIME Z890M-PLUS WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 285K |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2132
396.4 IPS |
|
|
Image Classification (HP)
|
100% |
5300
985.6 IPS |
|
|
Image Classification (Q)
|
100% |
8077
1.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2555
41.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2029
32.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3055
49.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4295
5.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
32285
37.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
70397
82.5 IPS |
|
|
Object Detection (SP)
|
100% |
2099
166.5 IPS |
|
|
Object Detection (HP)
|
100% |
4386
347.9 IPS |
|
|
Object Detection (Q)
|
89% |
8789
704.0 IPS |
|
|
Face Detection (SP)
|
100% |
6538
77.7 IPS |
|
|
Face Detection (HP)
|
100% |
11895
141.3 IPS |
|
|
Face Detection (Q)
|
100% |
22309
265.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5606
43.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
15803
121.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
30803
239.6 IPS |
|
|
Style Transfer (SP)
|
100% |
12011
15.4 IPS |
|
|
Style Transfer (HP)
|
100% |
49064
63.1 IPS |
|
|
Style Transfer (Q)
|
98% |
82153
105.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2608
96.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12662
467.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20321
752.5 IPS |
|
|
Text Classification (SP)
|
100% |
1471
1.96 KIPS |
|
|
Text Classification (HP)
|
100% |
1077
1.44 KIPS |
|
|
Text Classification (Q)
|
92% |
1086
1.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
3654
62.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2631
45.3 IPS |
|
|
Machine Translation (Q)
|
100% |
2656
45.7 IPS |
