ASUS System Product Name
Geekbench AI Score
4042
Single Precision Score
5491
Half Precision Score
2914
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | mnin |
| Upload Date | December 08 2024 07:59 PM |
| Views | 3 |
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 | Balanced |
| 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 | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2873
534.3 IPS |
|
|
Image Classification (HP)
|
100% |
3629
674.8 IPS |
|
|
Image Classification (Q)
|
99% |
2130
397.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2024
32.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
5262
85.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1635
26.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9987
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
16212
18.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
8696
10.2 IPS |
|
|
Object Detection (SP)
|
100% |
2931
232.5 IPS |
|
|
Object Detection (HP)
|
99% |
3620
288.0 IPS |
|
|
Object Detection (Q)
|
85% |
2172
174.8 IPS |
|
|
Face Detection (SP)
|
100% |
5644
67.1 IPS |
|
|
Face Detection (HP)
|
100% |
6231
74.0 IPS |
|
|
Face Detection (Q)
|
97% |
3828
45.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8420
64.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
14680
113.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
6332
50.7 IPS |
|
|
Style Transfer (SP)
|
100% |
26727
34.4 IPS |
|
|
Style Transfer (HP)
|
100% |
34323
44.1 IPS |
|
|
Style Transfer (Q)
|
98% |
20976
27.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4766
176.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6205
229.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3345
123.9 IPS |
|
|
Text Classification (SP)
|
86% |
617
834.3 IPS |
|
|
Text Classification (HP)
|
99% |
646
862.4 IPS |
|
|
Text Classification (Q)
|
84% |
454
616.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1833
31.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1767
30.4 IPS |
|
|
Machine Translation (Q)
|
70% |
871
16.3 IPS |
