Gigabyte Technology Co., Ltd. X870 GAMING WIFI6
Geekbench AI Score
13308
Single Precision Score
13432
Half Precision Score
30412
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | IronLad84 |
| Upload Date | February 28 2025 03:45 PM |
| Views | 16 |
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% |
7836
1.46 KIPS |
|
|
Image Classification (HP)
|
100% |
7899
1.47 KIPS |
|
|
Image Classification (Q)
|
100% |
15308
2.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8645
140.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9283
150.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
22874
370.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
24489
28.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
24704
28.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
98016
114.7 IPS |
|
|
Object Detection (SP)
|
100% |
8287
657.3 IPS |
|
|
Object Detection (HP)
|
100% |
8347
662.1 IPS |
|
|
Object Detection (Q)
|
88% |
18129
1.45 KIPS |
|
|
Face Detection (SP)
|
100% |
18251
216.9 IPS |
|
|
Face Detection (HP)
|
100% |
17352
206.2 IPS |
|
|
Face Detection (Q)
|
100% |
48370
574.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
22479
173.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
22557
173.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
61161
475.9 IPS |
|
|
Style Transfer (SP)
|
100% |
64862
83.4 IPS |
|
|
Style Transfer (HP)
|
100% |
64893
83.4 IPS |
|
|
Style Transfer (Q)
|
98% |
233086
300.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12846
474.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13070
482.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
36052
1.34 KIPS |
|
|
Text Classification (SP)
|
100% |
5102
6.81 KIPS |
|
|
Text Classification (HP)
|
100% |
5144
6.87 KIPS |
|
|
Text Classification (Q)
|
92% |
5992
8.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
7271
125.2 IPS |
|
|
Machine Translation (HP)
|
100% |
7407
127.6 IPS |
|
|
Machine Translation (Q)
|
100% |
7303
125.8 IPS |
