Gigabyte Technology Co., Ltd. X570S AORUS MASTER
Geekbench AI Score
4621
Single Precision Score
4554
Half Precision Score
7245
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | tinman480 |
| Upload Date | January 06 2025 11:12 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 5900X 12-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X570S AORUS MASTER |
| Motherboard | Gigabyte Technology Co., Ltd. X570S AORUS MASTER |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3206
596.2 IPS |
|
|
Image Classification (HP)
|
100% |
3203
595.6 IPS |
|
|
Image Classification (Q)
|
100% |
4942
919.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2867
46.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2905
47.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
5277
85.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8166
9.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
8190
9.56 IPS |
|
|
Pose Estimation (Q)
|
94% |
17882
21.0 IPS |
|
|
Object Detection (SP)
|
100% |
3446
273.3 IPS |
|
|
Object Detection (HP)
|
100% |
3169
251.3 IPS |
|
|
Object Detection (Q)
|
87% |
5130
411.4 IPS |
|
|
Face Detection (SP)
|
100% |
7492
89.0 IPS |
|
|
Face Detection (HP)
|
100% |
7193
85.5 IPS |
|
|
Face Detection (Q)
|
97% |
17199
205.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8589
66.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
8799
67.8 IPS |
|
|
Depth Estimation (Q)
|
81% |
15924
125.7 IPS |
|
|
Style Transfer (SP)
|
100% |
24036
30.9 IPS |
|
|
Style Transfer (HP)
|
100% |
24154
31.1 IPS |
|
|
Style Transfer (Q)
|
98% |
50130
64.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4716
174.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4671
172.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
9245
342.5 IPS |
|
|
Text Classification (SP)
|
100% |
790
1.05 KIPS |
|
|
Text Classification (HP)
|
100% |
786
1.05 KIPS |
|
|
Text Classification (Q)
|
91% |
460
618.7 IPS |
|
|
Machine Translation (SP)
|
100% |
2979
51.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2834
48.8 IPS |
|
|
Machine Translation (Q)
|
100% |
2856
49.2 IPS |
