ASUS System Product Name
Geekbench AI Score
3748
Single Precision Score
893
Half Precision Score
3759
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | falken1 |
| Upload Date | August 24 2024 08:05 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-10900K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS XII HERO (WI-FI) |
| Power Plan | Hchstleistung |
| CPU Information | |
|---|---|
| Name | Intel Core i9-10900K |
| Topology | 1 Processor, 10 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 5 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2284
424.7 IPS |
|
|
Image Classification (HP)
|
100% |
142
26.3 IPS |
|
|
Image Classification (Q)
|
97% |
3455
644.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1990
32.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
236
3.83 IPS |
|
|
Image Segmentation (Q)
|
97% |
2373
38.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8269
9.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
7143
8.33 IPS |
|
|
Pose Estimation (Q)
|
87% |
16024
18.9 IPS |
|
|
Object Detection (SP)
|
100% |
2551
202.4 IPS |
|
|
Object Detection (HP)
|
100% |
205
16.3 IPS |
|
|
Object Detection (Q)
|
86% |
2215
178.0 IPS |
|
|
Face Detection (SP)
|
100% |
2262
26.9 IPS |
|
|
Face Detection (HP)
|
100% |
290
3.45 IPS |
|
|
Face Detection (Q)
|
96% |
4083
48.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8270
63.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
992
7.64 IPS |
|
|
Depth Estimation (Q)
|
76% |
7140
57.5 IPS |
|
|
Style Transfer (SP)
|
100% |
20046
25.8 IPS |
|
|
Style Transfer (HP)
|
100% |
17188
22.1 IPS |
|
|
Style Transfer (Q)
|
87% |
16725
21.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3500
129.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2680
99.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3642
135.0 IPS |
|
|
Text Classification (SP)
|
100% |
1859
2.48 KIPS |
|
|
Text Classification (HP)
|
100% |
742
990.0 IPS |
|
|
Text Classification (Q)
|
97% |
490
656.0 IPS |
|
|
Machine Translation (SP)
|
100% |
2339
40.3 IPS |
|
|
Machine Translation (HP)
|
100% |
673
11.6 IPS |
|
|
Machine Translation (Q)
|
60% |
2229
49.7 IPS |
