Gigabyte Technology Co., Ltd. X870 GAMING WIFI6
Geekbench AI Score
13570
Single Precision Score
13535
Half Precision Score
30349
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | IronLad84 |
| Upload Date | February 28 2025 06:47 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% |
7928
1.47 KIPS |
|
|
Image Classification (HP)
|
100% |
7759
1.44 KIPS |
|
|
Image Classification (Q)
|
100% |
15562
2.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9213
149.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9370
151.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
22504
364.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
24490
28.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
24758
28.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
98047
114.8 IPS |
|
|
Object Detection (SP)
|
100% |
8715
691.3 IPS |
|
|
Object Detection (HP)
|
100% |
8687
689.1 IPS |
|
|
Object Detection (Q)
|
88% |
17959
1.44 KIPS |
|
|
Face Detection (SP)
|
100% |
18342
217.9 IPS |
|
|
Face Detection (HP)
|
100% |
17950
213.3 IPS |
|
|
Face Detection (Q)
|
100% |
48809
580.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
22774
175.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
22808
175.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
61120
475.6 IPS |
|
|
Style Transfer (SP)
|
100% |
65023
83.6 IPS |
|
|
Style Transfer (HP)
|
100% |
64979
83.5 IPS |
|
|
Style Transfer (Q)
|
98% |
233428
301.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13111
484.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13012
480.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
36139
1.34 KIPS |
|
|
Text Classification (SP)
|
100% |
5131
6.85 KIPS |
|
|
Text Classification (HP)
|
100% |
5146
6.87 KIPS |
|
|
Text Classification (Q)
|
92% |
5891
7.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
7438
128.1 IPS |
|
|
Machine Translation (HP)
|
100% |
7412
127.7 IPS |
|
|
Machine Translation (Q)
|
100% |
7252
124.9 IPS |
