ASUS System Product Name
Geekbench AI Score
6143
Single Precision Score
6202
Half Precision Score
10333
Quantized Score
Geekbench AI 1.0.0 for Linux AVX2
Result Information
| User | igormp |
| Upload Date | August 21 2024 03:29 AM |
| Views | 4 |
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% |
4218
784.4 IPS |
|
|
Image Classification (HP)
|
100% |
4224
785.5 IPS |
|
|
Image Classification (Q)
|
100% |
6819
1.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1584
25.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1657
26.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4723
76.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11166
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
11365
13.3 IPS |
|
|
Pose Estimation (Q)
|
94% |
24338
28.5 IPS |
|
|
Object Detection (SP)
|
100% |
4429
351.3 IPS |
|
|
Object Detection (HP)
|
100% |
4399
349.0 IPS |
|
|
Object Detection (Q)
|
87% |
7465
598.7 IPS |
|
|
Face Detection (SP)
|
100% |
9240
109.8 IPS |
|
|
Face Detection (HP)
|
100% |
10672
126.8 IPS |
|
|
Face Detection (Q)
|
97% |
22870
272.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
11887
91.6 IPS |
|
|
Depth Estimation (HP)
|
100% |
12179
93.8 IPS |
|
|
Depth Estimation (Q)
|
79% |
23371
185.3 IPS |
|
|
Style Transfer (SP)
|
100% |
30599
39.3 IPS |
|
|
Style Transfer (HP)
|
100% |
27473
35.3 IPS |
|
|
Style Transfer (Q)
|
98% |
69948
90.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6399
236.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6355
234.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
12372
458.3 IPS |
|
|
Text Classification (SP)
|
100% |
2311
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
2323
3.10 KIPS |
|
|
Text Classification (Q)
|
91% |
1495
2.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
4663
80.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4567
78.7 IPS |
|
|
Machine Translation (Q)
|
90% |
3432
59.6 IPS |
