Gigabyte Technology Co., Ltd. X870E AORUS MASTER
Geekbench AI Score
13961
Single Precision Score
13910
Half Precision Score
31254
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 21 2024 03:03 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X 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 | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6494
1.21 KIPS |
|
|
Image Classification (HP)
|
100% |
6835
1.27 KIPS |
|
|
Image Classification (Q)
|
100% |
14812
2.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9014
146.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9108
147.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
21068
341.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
31109
36.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
31109
36.3 IPS |
|
|
Pose Estimation (Q)
|
98% |
122825
143.8 IPS |
|
|
Object Detection (SP)
|
100% |
8449
670.2 IPS |
|
|
Object Detection (HP)
|
100% |
8064
639.7 IPS |
|
|
Object Detection (Q)
|
88% |
17445
1.40 KIPS |
|
|
Face Detection (SP)
|
100% |
17707
210.4 IPS |
|
|
Face Detection (HP)
|
100% |
18061
214.6 IPS |
|
|
Face Detection (Q)
|
100% |
45903
545.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
24637
189.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
23315
179.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
63171
491.5 IPS |
|
|
Style Transfer (SP)
|
100% |
80232
103.1 IPS |
|
|
Style Transfer (HP)
|
100% |
79738
102.5 IPS |
|
|
Style Transfer (Q)
|
98% |
279476
360.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14777
545.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14816
547.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
38862
1.44 KIPS |
|
|
Text Classification (SP)
|
100% |
5058
6.75 KIPS |
|
|
Text Classification (HP)
|
100% |
4922
6.57 KIPS |
|
|
Text Classification (Q)
|
92% |
6375
8.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
6989
120.4 IPS |
|
|
Machine Translation (HP)
|
100% |
7095
122.2 IPS |
|
|
Machine Translation (Q)
|
100% |
6625
114.1 IPS |
