ASUS System Product Name
Geekbench AI Score
6107
Single Precision Score
6127
Half Precision Score
10044
Quantized Score
Geekbench AI 1.0.0 for Linux x86 (64-bit)
Result Information
| User | igormp |
| Upload Date | August 21 2024 03:27 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Arch Linux |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ProArt B550-CREATOR |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 5.08 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 125.67 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4217
784.2 IPS |
|
|
Image Classification (HP)
|
100% |
4226
785.9 IPS |
|
|
Image Classification (Q)
|
100% |
6887
1.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1463
23.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1327
21.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4765
77.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11382
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
11508
13.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
24570
28.8 IPS |
|
|
Object Detection (SP)
|
100% |
4461
353.8 IPS |
|
|
Object Detection (HP)
|
100% |
4394
348.5 IPS |
|
|
Object Detection (Q)
|
87% |
7447
597.2 IPS |
|
|
Face Detection (SP)
|
100% |
8866
105.3 IPS |
|
|
Face Detection (HP)
|
100% |
10613
126.1 IPS |
|
|
Face Detection (Q)
|
97% |
20702
246.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
12078
93.1 IPS |
|
|
Depth Estimation (HP)
|
100% |
12189
93.9 IPS |
|
|
Depth Estimation (Q)
|
79% |
23612
187.3 IPS |
|
|
Style Transfer (SP)
|
100% |
32435
41.7 IPS |
|
|
Style Transfer (HP)
|
100% |
32674
42.0 IPS |
|
|
Style Transfer (Q)
|
98% |
68618
88.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6455
238.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6332
233.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
12398
459.2 IPS |
|
|
Text Classification (SP)
|
100% |
2325
3.10 KIPS |
|
|
Text Classification (HP)
|
100% |
2157
2.88 KIPS |
|
|
Text Classification (Q)
|
91% |
1426
1.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
4421
76.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4560
78.6 IPS |
|
|
Machine Translation (Q)
|
90% |
2936
51.0 IPS |
