ASUS System Product Name
Geekbench AI Score
3649
Single Precision Score
851
Half Precision Score
3522
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | chaton22 |
| Upload Date | August 20 2024 08:51 AM |
| Views | 4 |
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% |
2319
431.2 IPS |
|
|
Image Classification (HP)
|
100% |
142
26.4 IPS |
|
|
Image Classification (Q)
|
97% |
2777
518.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1959
31.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
231
3.74 IPS |
|
|
Image Segmentation (Q)
|
97% |
2258
36.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7927
9.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
6394
7.46 IPS |
|
|
Pose Estimation (Q)
|
87% |
13276
15.7 IPS |
|
|
Object Detection (SP)
|
100% |
2486
197.2 IPS |
|
|
Object Detection (HP)
|
100% |
202
16.0 IPS |
|
|
Object Detection (Q)
|
86% |
2043
164.2 IPS |
|
|
Face Detection (SP)
|
100% |
2809
33.4 IPS |
|
|
Face Detection (HP)
|
100% |
291
3.46 IPS |
|
|
Face Detection (Q)
|
96% |
4323
51.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8113
62.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
953
7.34 IPS |
|
|
Depth Estimation (Q)
|
76% |
6376
51.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17942
23.1 IPS |
|
|
Style Transfer (HP)
|
100% |
14800
19.0 IPS |
|
|
Style Transfer (Q)
|
87% |
17257
22.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2926
108.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2362
87.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3383
125.3 IPS |
|
|
Text Classification (SP)
|
100% |
1648
2.20 KIPS |
|
|
Text Classification (HP)
|
100% |
733
977.9 IPS |
|
|
Text Classification (Q)
|
97% |
537
719.8 IPS |
|
|
Machine Translation (SP)
|
100% |
2376
40.9 IPS |
|
|
Machine Translation (HP)
|
100% |
666
11.5 IPS |
|
|
Machine Translation (Q)
|
60% |
2000
44.6 IPS |
