Gigabyte Technology Co., Ltd. X870E AORUS MASTER
Geekbench AI Score
14348
Single Precision Score
14725
Half Precision Score
32238
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | May 17 2025 03:46 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X3D 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X870E AORUS MASTER |
| Motherboard | Gigabyte Technology Co., Ltd. X870E AORUS MASTER |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X3D 16-Core Processor |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6568
1.22 KIPS |
|
|
Image Classification (HP)
|
100% |
7247
1.35 KIPS |
|
|
Image Classification (Q)
|
100% |
15072
2.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9013
146.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9658
156.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
21744
352.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
33067
38.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
33526
39.1 IPS |
|
|
Pose Estimation (Q)
|
98% |
129925
152.1 IPS |
|
|
Object Detection (SP)
|
100% |
8332
660.9 IPS |
|
|
Object Detection (HP)
|
100% |
8038
637.6 IPS |
|
|
Object Detection (Q)
|
88% |
17833
1.43 KIPS |
|
|
Face Detection (SP)
|
100% |
17344
206.1 IPS |
|
|
Face Detection (HP)
|
100% |
18302
217.5 IPS |
|
|
Face Detection (Q)
|
100% |
47202
560.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
27429
211.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
27348
210.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
65895
512.7 IPS |
|
|
Style Transfer (SP)
|
100% |
84034
108.0 IPS |
|
|
Style Transfer (HP)
|
100% |
84872
109.1 IPS |
|
|
Style Transfer (Q)
|
98% |
299509
386.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15632
577.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15588
575.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
39944
1.48 KIPS |
|
|
Text Classification (SP)
|
100% |
5041
6.73 KIPS |
|
|
Text Classification (HP)
|
100% |
5280
7.05 KIPS |
|
|
Text Classification (Q)
|
92% |
6155
8.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
7200
124.0 IPS |
|
|
Machine Translation (HP)
|
100% |
7269
125.2 IPS |
|
|
Machine Translation (Q)
|
100% |
6973
120.1 IPS |
