Gigabyte Technology Co., Ltd. X870 GAMING WIFI6
Geekbench AI Score
13360
Single Precision Score
13466
Half Precision Score
30381
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | IronLad84 |
| Upload Date | February 28 2025 05:22 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% |
7455
1.39 KIPS |
|
|
Image Classification (HP)
|
100% |
7800
1.45 KIPS |
|
|
Image Classification (Q)
|
100% |
15611
2.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9235
149.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
9235
149.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
22443
363.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
24507
28.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
24558
28.7 IPS |
|
|
Pose Estimation (Q)
|
98% |
98230
115.0 IPS |
|
|
Object Detection (SP)
|
100% |
8673
687.9 IPS |
|
|
Object Detection (HP)
|
100% |
8602
682.3 IPS |
|
|
Object Detection (Q)
|
88% |
18134
1.45 KIPS |
|
|
Face Detection (SP)
|
100% |
17660
209.8 IPS |
|
|
Face Detection (HP)
|
100% |
18413
218.8 IPS |
|
|
Face Detection (Q)
|
100% |
48356
574.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
22564
173.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
22644
174.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
60871
473.6 IPS |
|
|
Style Transfer (SP)
|
100% |
64910
83.4 IPS |
|
|
Style Transfer (HP)
|
100% |
64955
83.5 IPS |
|
|
Style Transfer (Q)
|
98% |
232612
300.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13097
483.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13226
488.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
36171
1.34 KIPS |
|
|
Text Classification (SP)
|
100% |
4938
6.59 KIPS |
|
|
Text Classification (HP)
|
100% |
4894
6.53 KIPS |
|
|
Text Classification (Q)
|
92% |
6074
8.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
7403
127.5 IPS |
|
|
Machine Translation (HP)
|
100% |
7352
126.6 IPS |
|
|
Machine Translation (Q)
|
100% |
7137
122.9 IPS |
