Gigabyte Technology Co., Ltd. X870 GAMING WIFI6
Geekbench AI Score
13548
Single Precision Score
13488
Half Precision Score
30161
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | IronLad84 |
| Upload Date | March 01 2025 12:10 PM |
| Views | 10 |
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% |
7833
1.46 KIPS |
|
|
Image Classification (HP)
|
100% |
7809
1.45 KIPS |
|
|
Image Classification (Q)
|
100% |
14848
2.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9220
149.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9252
150.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
22664
367.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
24695
28.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
24693
28.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
98756
115.6 IPS |
|
|
Object Detection (SP)
|
100% |
8593
681.6 IPS |
|
|
Object Detection (HP)
|
100% |
8762
695.0 IPS |
|
|
Object Detection (Q)
|
88% |
17865
1.43 KIPS |
|
|
Face Detection (SP)
|
100% |
18432
219.0 IPS |
|
|
Face Detection (HP)
|
100% |
18387
218.5 IPS |
|
|
Face Detection (Q)
|
100% |
49137
583.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
22571
173.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
22492
173.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
60767
472.8 IPS |
|
|
Style Transfer (SP)
|
100% |
64956
83.5 IPS |
|
|
Style Transfer (HP)
|
100% |
64880
83.4 IPS |
|
|
Style Transfer (Q)
|
98% |
233527
301.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13011
480.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12766
471.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
34665
1.28 KIPS |
|
|
Text Classification (SP)
|
100% |
5152
6.88 KIPS |
|
|
Text Classification (HP)
|
100% |
5001
6.67 KIPS |
|
|
Text Classification (Q)
|
92% |
5992
8.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
7505
129.3 IPS |
|
|
Machine Translation (HP)
|
100% |
7444
128.2 IPS |
|
|
Machine Translation (Q)
|
100% |
7246
124.8 IPS |
