Gigabyte Technology Co., Ltd. X470 AORUS GAMING 7 WIFI
Geekbench AI Score
3761
Single Precision Score
3699
Half Precision Score
5223
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 26 2025 04:08 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 3950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X470 AORUS GAMING 7 WIFI |
| Motherboard | Gigabyte Technology Co., Ltd. X470 AORUS GAMING 7 WIFI-CF |
| Power Plan | AMD Ryzen High Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 3950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2111
392.6 IPS |
|
|
Image Classification (HP)
|
100% |
2244
417.3 IPS |
|
|
Image Classification (Q)
|
100% |
3787
704.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1793
29.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1840
29.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
6187
100.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9212
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
8904
10.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
13407
15.7 IPS |
|
|
Object Detection (SP)
|
100% |
2525
200.3 IPS |
|
|
Object Detection (HP)
|
100% |
2435
193.2 IPS |
|
|
Object Detection (Q)
|
87% |
4207
337.4 IPS |
|
|
Face Detection (SP)
|
100% |
5573
66.2 IPS |
|
|
Face Detection (HP)
|
100% |
5555
66.0 IPS |
|
|
Face Detection (Q)
|
97% |
13885
165.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3892
30.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3316
25.5 IPS |
|
|
Depth Estimation (Q)
|
81% |
10600
83.6 IPS |
|
|
Style Transfer (SP)
|
100% |
24977
32.1 IPS |
|
|
Style Transfer (HP)
|
100% |
22845
29.4 IPS |
|
|
Style Transfer (Q)
|
98% |
37494
48.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3951
145.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3922
144.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
6624
245.4 IPS |
|
|
Text Classification (SP)
|
100% |
1709
2.28 KIPS |
|
|
Text Classification (HP)
|
100% |
1796
2.40 KIPS |
|
|
Text Classification (Q)
|
91% |
183
246.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1760
30.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1809
31.2 IPS |
|
|
Machine Translation (Q)
|
100% |
1712
29.5 IPS |
