Gigabyte Technology Co., Ltd. X870 GAMING WIFI6
Geekbench AI Score
13387
Single Precision Score
13471
Half Precision Score
30463
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | IronLad84 |
| Upload Date | February 28 2025 05:31 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% |
7916
1.47 KIPS |
|
|
Image Classification (HP)
|
100% |
7435
1.38 KIPS |
|
|
Image Classification (Q)
|
100% |
15356
2.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8796
142.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9268
150.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
22796
369.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
24619
28.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
24829
29.0 IPS |
|
|
Pose Estimation (Q)
|
98% |
98708
115.6 IPS |
|
|
Object Detection (SP)
|
100% |
8695
689.7 IPS |
|
|
Object Detection (HP)
|
100% |
8697
689.8 IPS |
|
|
Object Detection (Q)
|
88% |
18266
1.46 KIPS |
|
|
Face Detection (SP)
|
100% |
17671
210.0 IPS |
|
|
Face Detection (HP)
|
100% |
18359
218.1 IPS |
|
|
Face Detection (Q)
|
100% |
48821
580.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
22821
175.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
22781
175.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
61193
476.1 IPS |
|
|
Style Transfer (SP)
|
100% |
64952
83.5 IPS |
|
|
Style Transfer (HP)
|
100% |
65175
83.8 IPS |
|
|
Style Transfer (Q)
|
98% |
233689
301.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12758
471.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12913
476.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
35499
1.31 KIPS |
|
|
Text Classification (SP)
|
100% |
4960
6.62 KIPS |
|
|
Text Classification (HP)
|
100% |
5018
6.70 KIPS |
|
|
Text Classification (Q)
|
92% |
6089
8.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
7487
129.0 IPS |
|
|
Machine Translation (HP)
|
100% |
7492
129.0 IPS |
|
|
Machine Translation (Q)
|
100% |
7227
124.5 IPS |
