ASUS System Product Name
Geekbench AI Score
4723
Single Precision Score
6406
Half Precision Score
3336
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | O-EtaIXVII |
| Upload Date | December 22 2024 07:16 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z890 APEX |
| Power Plan | High performance |
| 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% |
3324
618.2 IPS |
|
|
Image Classification (HP)
|
100% |
4160
773.6 IPS |
|
|
Image Classification (Q)
|
99% |
2380
443.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2177
35.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
5742
93.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1791
29.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10385
12.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
16985
19.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
9098
10.7 IPS |
|
|
Object Detection (SP)
|
100% |
3408
270.4 IPS |
|
|
Object Detection (HP)
|
99% |
4213
335.2 IPS |
|
|
Object Detection (Q)
|
85% |
2540
204.4 IPS |
|
|
Face Detection (SP)
|
100% |
6576
78.1 IPS |
|
|
Face Detection (HP)
|
100% |
6688
79.5 IPS |
|
|
Face Detection (Q)
|
97% |
4383
52.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9367
72.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
15827
122.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
6983
55.9 IPS |
|
|
Style Transfer (SP)
|
100% |
27554
35.4 IPS |
|
|
Style Transfer (HP)
|
100% |
41107
52.8 IPS |
|
|
Style Transfer (Q)
|
98% |
21897
28.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5133
189.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8049
297.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3579
132.5 IPS |
|
|
Text Classification (SP)
|
86% |
984
1.33 KIPS |
|
|
Text Classification (HP)
|
99% |
845
1.13 KIPS |
|
|
Text Classification (Q)
|
84% |
655
889.2 IPS |
|
|
Machine Translation (SP)
|
100% |
2516
43.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2303
39.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1104
20.7 IPS |
