ASUS System Product Name
Geekbench AI Score
3669
Single Precision Score
850
Half Precision Score
3561
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | chaton22 |
| Upload Date | August 20 2024 08:39 AM |
| Views | 19 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-9900KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 IoT Enterprise LTSC (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS XI APEX |
| Power Plan | Performances leves |
| CPU Information | |
|---|---|
| Name | Intel Core i9-9900KF |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 12 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2305
428.7 IPS |
|
|
Image Classification (HP)
|
100% |
142
26.4 IPS |
|
|
Image Classification (Q)
|
97% |
3014
562.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1949
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
230
3.73 IPS |
|
|
Image Segmentation (Q)
|
97% |
2255
36.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7922
9.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
6362
7.42 IPS |
|
|
Pose Estimation (Q)
|
87% |
13288
15.7 IPS |
|
|
Object Detection (SP)
|
100% |
2468
195.8 IPS |
|
|
Object Detection (HP)
|
100% |
202
16.0 IPS |
|
|
Object Detection (Q)
|
86% |
2035
163.6 IPS |
|
|
Face Detection (SP)
|
100% |
2801
33.3 IPS |
|
|
Face Detection (HP)
|
100% |
290
3.45 IPS |
|
|
Face Detection (Q)
|
96% |
4329
51.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8072
62.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
953
7.34 IPS |
|
|
Depth Estimation (Q)
|
76% |
6493
52.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18340
23.6 IPS |
|
|
Style Transfer (HP)
|
100% |
14872
19.1 IPS |
|
|
Style Transfer (Q)
|
87% |
17317
22.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2995
110.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2435
89.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3380
125.3 IPS |
|
|
Text Classification (SP)
|
100% |
1685
2.25 KIPS |
|
|
Text Classification (HP)
|
100% |
711
949.1 IPS |
|
|
Text Classification (Q)
|
97% |
539
721.6 IPS |
|
|
Machine Translation (SP)
|
100% |
2406
41.5 IPS |
|
|
Machine Translation (HP)
|
100% |
665
11.5 IPS |
|
|
Machine Translation (Q)
|
60% |
2012
44.9 IPS |
