ASUS System Product Name
Geekbench AI Score
3153
Single Precision Score
4042
Half Precision Score
2319
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | teknoseyir |
| Upload Date | October 16 2024 06:40 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Graphics |
| 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 9 285K |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2012
374.2 IPS |
|
|
Image Classification (HP)
|
100% |
2517
468.1 IPS |
|
|
Image Classification (Q)
|
100% |
1400
260.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1547
25.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4249
68.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1320
21.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9389
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
13917
16.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
8228
9.64 IPS |
|
|
Object Detection (SP)
|
100% |
2029
161.0 IPS |
|
|
Object Detection (HP)
|
99% |
2220
176.6 IPS |
|
|
Object Detection (Q)
|
89% |
1499
120.0 IPS |
|
|
Face Detection (SP)
|
100% |
3928
46.7 IPS |
|
|
Face Detection (HP)
|
100% |
4065
48.3 IPS |
|
|
Face Detection (Q)
|
97% |
2785
33.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7980
61.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
12595
97.4 IPS |
|
|
Depth Estimation (Q)
|
76% |
5902
47.4 IPS |
|
|
Style Transfer (SP)
|
100% |
25658
33.0 IPS |
|
|
Style Transfer (HP)
|
100% |
32057
41.2 IPS |
|
|
Style Transfer (Q)
|
98% |
20442
26.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3666
135.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4698
173.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2783
103.0 IPS |
|
|
Text Classification (SP)
|
86% |
744
1.01 KIPS |
|
|
Text Classification (HP)
|
99% |
668
891.6 IPS |
|
|
Text Classification (Q)
|
83% |
557
758.2 IPS |
|
|
Machine Translation (SP)
|
100% |
748
12.9 IPS |
|
|
Machine Translation (HP)
|
100% |
684
11.8 IPS |
|
|
Machine Translation (Q)
|
60% |
380
8.48 IPS |
