ASUS System Product Name
Geekbench AI Score
15430
Single Precision Score
15401
Half Precision Score
33837
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | domdtxdissar |
| Upload Date | December 15 2024 02:34 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 IoT Enterprise LTSC (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E GENE |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X 16-Core Processor |
| Topology | 1 Processor, 16 Cores |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7615
1.42 KIPS |
|
|
Image Classification (HP)
|
100% |
7746
1.44 KIPS |
|
|
Image Classification (Q)
|
100% |
16880
3.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9788
158.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
10078
163.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
19981
323.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
34139
39.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
33304
38.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
135250
158.3 IPS |
|
|
Object Detection (SP)
|
100% |
9326
739.7 IPS |
|
|
Object Detection (HP)
|
100% |
8828
700.2 IPS |
|
|
Object Detection (Q)
|
88% |
18874
1.51 KIPS |
|
|
Face Detection (SP)
|
100% |
21775
258.7 IPS |
|
|
Face Detection (HP)
|
100% |
20171
239.7 IPS |
|
|
Face Detection (Q)
|
100% |
53363
634.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
26004
200.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
27187
209.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
70654
549.8 IPS |
|
|
Style Transfer (SP)
|
100% |
86957
111.8 IPS |
|
|
Style Transfer (HP)
|
100% |
87725
112.8 IPS |
|
|
Style Transfer (Q)
|
98% |
310328
400.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15850
585.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15741
581.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
40819
1.51 KIPS |
|
|
Text Classification (SP)
|
100% |
5381
7.18 KIPS |
|
|
Text Classification (HP)
|
100% |
5617
7.50 KIPS |
|
|
Text Classification (Q)
|
92% |
6627
8.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
7681
132.3 IPS |
|
|
Machine Translation (HP)
|
100% |
7693
132.5 IPS |
|
|
Machine Translation (Q)
|
100% |
7222
124.4 IPS |
