Gigabyte Technology Co., Ltd. X870E AORUS ELITE WIFI7
Geekbench AI Score
14853
Single Precision Score
14500
Half Precision Score
34690
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | sicKlown |
| Upload Date | April 14 2025 05:36 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X3D 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X870E AORUS ELITE WIFI7 |
| Motherboard | Gigabyte Technology Co., Ltd. X870E AORUS ELITE WIFI7 |
| 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 | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7068
1.31 KIPS |
|
|
Image Classification (HP)
|
100% |
6857
1.28 KIPS |
|
|
Image Classification (Q)
|
100% |
17796
3.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11201
181.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9823
159.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
27145
440.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
30926
36.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
30972
36.1 IPS |
|
|
Pose Estimation (Q)
|
98% |
120983
141.6 IPS |
|
|
Object Detection (SP)
|
100% |
8522
675.9 IPS |
|
|
Object Detection (HP)
|
100% |
8900
706.0 IPS |
|
|
Object Detection (Q)
|
88% |
21340
1.71 KIPS |
|
|
Face Detection (SP)
|
100% |
19867
236.1 IPS |
|
|
Face Detection (HP)
|
100% |
17700
210.3 IPS |
|
|
Face Detection (Q)
|
100% |
50836
604.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
25191
194.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
25637
197.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
70239
546.7 IPS |
|
|
Style Transfer (SP)
|
100% |
81544
104.8 IPS |
|
|
Style Transfer (HP)
|
100% |
78868
101.4 IPS |
|
|
Style Transfer (Q)
|
98% |
284294
366.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15072
556.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14739
544.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
39208
1.45 KIPS |
|
|
Text Classification (SP)
|
100% |
4659
6.22 KIPS |
|
|
Text Classification (HP)
|
100% |
4641
6.19 KIPS |
|
|
Text Classification (Q)
|
92% |
5696
7.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
8745
150.6 IPS |
|
|
Machine Translation (HP)
|
100% |
9041
155.7 IPS |
|
|
Machine Translation (Q)
|
100% |
8928
153.8 IPS |
