Gigabyte Technology Co., Ltd. X870E AORUS ELITE X3D
Geekbench AI Score
13816
Single Precision Score
13948
Half Precision Score
33726
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Tweakar |
| Upload Date | December 09 2025 04:37 AM |
| Views | 3 |
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 ELITE X3D |
| Motherboard | Gigabyte Technology Co., Ltd. X870E AORUS ELITE X3D |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X3D |
| 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% |
6877
1.28 KIPS |
|
|
Image Classification (HP)
|
100% |
7086
1.32 KIPS |
|
|
Image Classification (Q)
|
100% |
17655
3.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9031
146.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9133
148.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
24847
402.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
30359
35.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
30421
35.5 IPS |
|
|
Pose Estimation (Q)
|
98% |
119068
139.4 IPS |
|
|
Object Detection (SP)
|
100% |
8395
665.9 IPS |
|
|
Object Detection (HP)
|
100% |
8023
636.4 IPS |
|
|
Object Detection (Q)
|
88% |
19516
1.56 KIPS |
|
|
Face Detection (SP)
|
100% |
16923
201.1 IPS |
|
|
Face Detection (HP)
|
100% |
17067
202.8 IPS |
|
|
Face Detection (Q)
|
100% |
56512
671.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
22646
174.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
24152
186.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
65333
508.4 IPS |
|
|
Style Transfer (SP)
|
100% |
77397
99.5 IPS |
|
|
Style Transfer (HP)
|
100% |
77057
99.1 IPS |
|
|
Style Transfer (Q)
|
98% |
275348
355.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14421
532.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14433
532.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
36978
1.37 KIPS |
|
|
Text Classification (SP)
|
100% |
4698
6.27 KIPS |
|
|
Text Classification (HP)
|
100% |
4653
6.21 KIPS |
|
|
Text Classification (Q)
|
92% |
5840
7.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
7968
137.3 IPS |
|
|
Machine Translation (HP)
|
100% |
8276
142.6 IPS |
|
|
Machine Translation (Q)
|
100% |
8510
146.6 IPS |
