Gigabyte Technology Co., Ltd. X870E AORUS MASTER
Geekbench AI Score
13784
Single Precision Score
13885
Half Precision Score
33486
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 06 2025 05:11 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 9800X3D 8-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 7 9800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8452
1.57 KIPS |
|
|
Image Classification (HP)
|
100% |
8418
1.57 KIPS |
|
|
Image Classification (Q)
|
100% |
20931
3.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9282
150.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9391
152.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
25394
411.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
16691
19.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
16101
18.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
67307
78.8 IPS |
|
|
Object Detection (SP)
|
100% |
8516
675.5 IPS |
|
|
Object Detection (HP)
|
100% |
8750
694.0 IPS |
|
|
Object Detection (Q)
|
88% |
22322
1.79 KIPS |
|
|
Face Detection (SP)
|
100% |
26913
319.8 IPS |
|
|
Face Detection (HP)
|
100% |
27114
322.2 IPS |
|
|
Face Detection (Q)
|
100% |
55477
659.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
22706
174.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
22661
174.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
59004
459.2 IPS |
|
|
Style Transfer (SP)
|
100% |
46889
60.3 IPS |
|
|
Style Transfer (HP)
|
100% |
47830
61.5 IPS |
|
|
Style Transfer (Q)
|
98% |
169493
218.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10263
379.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10687
394.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
31418
1.16 KIPS |
|
|
Text Classification (SP)
|
100% |
6505
8.68 KIPS |
|
|
Text Classification (HP)
|
100% |
6515
8.70 KIPS |
|
|
Text Classification (Q)
|
92% |
8998
12.1 KIPS |
|
|
Machine Translation (SP)
|
100% |
11613
200.0 IPS |
|
|
Machine Translation (HP)
|
100% |
11696
201.5 IPS |
|
|
Machine Translation (Q)
|
100% |
14157
243.9 IPS |
