Gigabyte Technology Co., Ltd. X870 GAMING WIFI6
Geekbench AI Score
13472
Single Precision Score
13424
Half Precision Score
30413
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | IronLad84 |
| Upload Date | February 27 2025 09:19 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 9900X 12-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X870 GAMING WIFI6 |
| Motherboard | Gigabyte Technology Co., Ltd. X870 GAMING WIFI6 |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9900X 12-Core Processor |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7850
1.46 KIPS |
|
|
Image Classification (HP)
|
100% |
7812
1.45 KIPS |
|
|
Image Classification (Q)
|
100% |
15545
2.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9219
149.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9225
149.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
22551
365.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
24818
29.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
24962
29.1 IPS |
|
|
Pose Estimation (Q)
|
98% |
98731
115.6 IPS |
|
|
Object Detection (SP)
|
100% |
8677
688.3 IPS |
|
|
Object Detection (HP)
|
100% |
8642
685.5 IPS |
|
|
Object Detection (Q)
|
88% |
18146
1.45 KIPS |
|
|
Face Detection (SP)
|
100% |
17583
208.9 IPS |
|
|
Face Detection (HP)
|
100% |
18325
217.7 IPS |
|
|
Face Detection (Q)
|
100% |
48381
574.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
22630
174.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
22684
174.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
61019
474.8 IPS |
|
|
Style Transfer (SP)
|
100% |
65134
83.7 IPS |
|
|
Style Transfer (HP)
|
100% |
64928
83.5 IPS |
|
|
Style Transfer (Q)
|
98% |
233062
300.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13067
482.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12920
477.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
35915
1.33 KIPS |
|
|
Text Classification (SP)
|
100% |
5047
6.74 KIPS |
|
|
Text Classification (HP)
|
100% |
4855
6.48 KIPS |
|
|
Text Classification (Q)
|
92% |
6018
8.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
7398
127.4 IPS |
|
|
Machine Translation (HP)
|
100% |
7225
124.5 IPS |
|
|
Machine Translation (Q)
|
100% |
7250
124.9 IPS |
