Gigabyte Technology Co., Ltd. X870E AORUS ELITE WIFI7
Geekbench AI Score
7668
Single Precision Score
2622
Half Precision Score
12706
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 19 2025 05:56 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5508
1.02 KIPS |
|
|
Image Classification (HP)
|
100% |
885
164.6 IPS |
|
|
Image Classification (Q)
|
99% |
12910
2.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3306
53.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1408
22.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
5635
91.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
16944
19.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
12596
14.7 IPS |
|
|
Pose Estimation (Q)
|
94% |
58809
69.0 IPS |
|
|
Object Detection (SP)
|
100% |
5614
445.3 IPS |
|
|
Object Detection (HP)
|
100% |
1035
82.1 IPS |
|
|
Object Detection (Q)
|
86% |
14384
1.16 KIPS |
|
|
Face Detection (SP)
|
100% |
10220
121.4 IPS |
|
|
Face Detection (HP)
|
100% |
2151
25.6 IPS |
|
|
Face Detection (Q)
|
97% |
16170
192.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
19836
152.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3272
25.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
33089
264.0 IPS |
|
|
Style Transfer (SP)
|
100% |
37776
48.6 IPS |
|
|
Style Transfer (HP)
|
100% |
30590
39.3 IPS |
|
|
Style Transfer (Q)
|
98% |
48997
63.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4947
182.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4051
149.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5928
219.5 IPS |
|
|
Text Classification (SP)
|
100% |
2541
3.39 KIPS |
|
|
Text Classification (HP)
|
100% |
1121
1.50 KIPS |
|
|
Text Classification (Q)
|
97% |
2086
2.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
4215
72.6 IPS |
|
|
Machine Translation (HP)
|
100% |
969
16.7 IPS |
|
|
Machine Translation (Q)
|
65% |
5501
110.5 IPS |
