Gigabyte Technology Co., Ltd. X870 GAMING WIFI6
Geekbench AI Score
13655
Single Precision Score
13686
Half Precision Score
33670
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | IronLad84 |
| Upload Date | December 31 2025 09:20 PM |
| Views | 3 |
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 | ChrisTitus - Ultimate Power Plan |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9900X |
| 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% |
7972
1.48 KIPS |
|
|
Image Classification (HP)
|
100% |
7838
1.46 KIPS |
|
|
Image Classification (Q)
|
100% |
18246
3.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9773
158.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9773
158.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
27852
451.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
24370
28.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
24291
28.3 IPS |
|
|
Pose Estimation (Q)
|
98% |
98793
115.7 IPS |
|
|
Object Detection (SP)
|
100% |
8574
680.1 IPS |
|
|
Object Detection (HP)
|
100% |
8520
675.8 IPS |
|
|
Object Detection (Q)
|
88% |
20801
1.67 KIPS |
|
|
Face Detection (SP)
|
100% |
18628
221.3 IPS |
|
|
Face Detection (HP)
|
100% |
18902
224.6 IPS |
|
|
Face Detection (Q)
|
100% |
55682
661.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
22648
174.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
22349
172.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
63913
497.4 IPS |
|
|
Style Transfer (SP)
|
100% |
65769
84.5 IPS |
|
|
Style Transfer (HP)
|
100% |
66469
85.4 IPS |
|
|
Style Transfer (Q)
|
98% |
240082
309.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12680
468.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12688
468.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
35157
1.30 KIPS |
|
|
Text Classification (SP)
|
100% |
4496
6.00 KIPS |
|
|
Text Classification (HP)
|
100% |
4664
6.23 KIPS |
|
|
Text Classification (Q)
|
92% |
6014
8.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
8753
150.8 IPS |
|
|
Machine Translation (HP)
|
100% |
8753
150.8 IPS |
|
|
Machine Translation (Q)
|
100% |
9928
171.0 IPS |
