Gigabyte Technology Co., Ltd. X870 GAMING WIFI6
Geekbench AI Score
13477
Single Precision Score
13635
Half Precision Score
30461
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | IronLad84 |
| Upload Date | February 27 2025 02:39 PM |
| Views | 11 |
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% |
7289
1.36 KIPS |
|
|
Image Classification (HP)
|
100% |
7981
1.48 KIPS |
|
|
Image Classification (Q)
|
100% |
15726
2.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9280
150.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9511
154.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
22941
371.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
24677
28.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
24673
28.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
98515
115.3 IPS |
|
|
Object Detection (SP)
|
100% |
8759
694.8 IPS |
|
|
Object Detection (HP)
|
100% |
8811
698.9 IPS |
|
|
Object Detection (Q)
|
88% |
18233
1.46 KIPS |
|
|
Face Detection (SP)
|
100% |
18597
221.0 IPS |
|
|
Face Detection (HP)
|
100% |
18497
219.8 IPS |
|
|
Face Detection (Q)
|
100% |
49343
586.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
22734
175.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
22925
176.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
61524
478.7 IPS |
|
|
Style Transfer (SP)
|
100% |
64914
83.4 IPS |
|
|
Style Transfer (HP)
|
100% |
64942
83.5 IPS |
|
|
Style Transfer (Q)
|
98% |
233286
300.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13530
499.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13337
492.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
35488
1.31 KIPS |
|
|
Text Classification (SP)
|
100% |
4855
6.48 KIPS |
|
|
Text Classification (HP)
|
100% |
4907
6.55 KIPS |
|
|
Text Classification (Q)
|
92% |
5904
7.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
7502
129.2 IPS |
|
|
Machine Translation (HP)
|
100% |
7473
128.7 IPS |
|
|
Machine Translation (Q)
|
100% |
7153
123.2 IPS |
