ASUS System Product Name
Geekbench AI Score
3701
Single Precision Score
862
Half Precision Score
3693
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | falken1 |
| Upload Date | August 24 2024 04:36 PM |
| Views | 4 |
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 | Ausbalanciert |
| 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% |
2237
415.9 IPS |
|
|
Image Classification (HP)
|
100% |
138
25.7 IPS |
|
|
Image Classification (Q)
|
97% |
3308
617.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1902
30.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
227
3.69 IPS |
|
|
Image Segmentation (Q)
|
97% |
2421
39.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8131
9.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
6930
8.09 IPS |
|
|
Pose Estimation (Q)
|
87% |
15286
18.1 IPS |
|
|
Object Detection (SP)
|
100% |
2519
199.8 IPS |
|
|
Object Detection (HP)
|
100% |
198
15.7 IPS |
|
|
Object Detection (Q)
|
86% |
2184
175.5 IPS |
|
|
Face Detection (SP)
|
100% |
2343
27.8 IPS |
|
|
Face Detection (HP)
|
100% |
282
3.35 IPS |
|
|
Face Detection (Q)
|
96% |
4116
49.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8198
63.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
958
7.38 IPS |
|
|
Depth Estimation (Q)
|
76% |
6891
55.5 IPS |
|
|
Style Transfer (SP)
|
100% |
19775
25.4 IPS |
|
|
Style Transfer (HP)
|
100% |
16585
21.3 IPS |
|
|
Style Transfer (Q)
|
87% |
16650
21.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3382
124.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2597
95.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3510
130.1 IPS |
|
|
Text Classification (SP)
|
100% |
1806
2.41 KIPS |
|
|
Text Classification (HP)
|
100% |
706
942.5 IPS |
|
|
Text Classification (Q)
|
97% |
482
645.8 IPS |
|
|
Machine Translation (SP)
|
100% |
2386
41.1 IPS |
|
|
Machine Translation (HP)
|
100% |
644
11.1 IPS |
|
|
Machine Translation (Q)
|
60% |
2209
49.3 IPS |
