ASUS System Product Name
Geekbench AI Score
3648
Single Precision Score
854
Half Precision Score
3580
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | chaton22 |
| Upload Date | August 20 2024 09:09 AM |
| Views | 10 |
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% |
143
26.5 IPS |
|
|
Image Classification (Q)
|
97% |
3074
573.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1974
32.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
230
3.74 IPS |
|
|
Image Segmentation (Q)
|
97% |
2275
37.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7928
9.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
6446
7.52 IPS |
|
|
Pose Estimation (Q)
|
87% |
13278
15.7 IPS |
|
|
Object Detection (SP)
|
100% |
2481
196.8 IPS |
|
|
Object Detection (HP)
|
100% |
202
16.0 IPS |
|
|
Object Detection (Q)
|
86% |
2041
164.1 IPS |
|
|
Face Detection (SP)
|
100% |
2807
33.4 IPS |
|
|
Face Detection (HP)
|
100% |
290
3.45 IPS |
|
|
Face Detection (Q)
|
96% |
4328
51.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7391
56.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
954
7.35 IPS |
|
|
Depth Estimation (Q)
|
76% |
6540
52.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18422
23.7 IPS |
|
|
Style Transfer (HP)
|
100% |
14983
19.3 IPS |
|
|
Style Transfer (Q)
|
87% |
17481
22.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3005
111.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2451
90.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3387
125.5 IPS |
|
|
Text Classification (SP)
|
100% |
1682
2.24 KIPS |
|
|
Text Classification (HP)
|
100% |
712
950.8 IPS |
|
|
Text Classification (Q)
|
97% |
540
722.7 IPS |
|
|
Machine Translation (SP)
|
100% |
2419
41.7 IPS |
|
|
Machine Translation (HP)
|
100% |
670
11.5 IPS |
|
|
Machine Translation (Q)
|
60% |
2019
45.0 IPS |
