Gigabyte Technology Co., Ltd. X870 GAMING WIFI6
Geekbench AI Score
13415
Single Precision Score
13581
Half Precision Score
30413
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | IronLad84 |
| Upload Date | February 25 2025 11:11 PM |
| Views | 7 |
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% |
7900
1.47 KIPS |
|
|
Image Classification (HP)
|
100% |
7883
1.47 KIPS |
|
|
Image Classification (Q)
|
100% |
15688
2.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9202
149.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9331
151.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
22869
370.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
24495
28.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
24624
28.7 IPS |
|
|
Pose Estimation (Q)
|
98% |
97838
114.5 IPS |
|
|
Object Detection (SP)
|
100% |
8719
691.6 IPS |
|
|
Object Detection (HP)
|
100% |
8734
692.8 IPS |
|
|
Object Detection (Q)
|
88% |
18088
1.45 KIPS |
|
|
Face Detection (SP)
|
100% |
17151
203.8 IPS |
|
|
Face Detection (HP)
|
100% |
18380
218.4 IPS |
|
|
Face Detection (Q)
|
100% |
49016
582.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
22640
174.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
22656
174.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
61103
475.4 IPS |
|
|
Style Transfer (SP)
|
100% |
64910
83.4 IPS |
|
|
Style Transfer (HP)
|
100% |
64874
83.4 IPS |
|
|
Style Transfer (Q)
|
98% |
232900
300.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12919
477.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12989
479.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
35126
1.30 KIPS |
|
|
Text Classification (SP)
|
100% |
5047
6.74 KIPS |
|
|
Text Classification (HP)
|
100% |
5153
6.88 KIPS |
|
|
Text Classification (Q)
|
92% |
5964
8.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
7400
127.5 IPS |
|
|
Machine Translation (HP)
|
100% |
7467
128.6 IPS |
|
|
Machine Translation (Q)
|
100% |
7299
125.7 IPS |
