Gigabyte Technology Co., Ltd. X870 GAMING WIFI6
Geekbench AI Score
13477
Single Precision Score
13530
Half Precision Score
30348
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | IronLad84 |
| Upload Date | March 01 2025 04:57 PM |
| Views | 8 |
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% |
7823
1.45 KIPS |
|
|
Image Classification (HP)
|
100% |
7852
1.46 KIPS |
|
|
Image Classification (Q)
|
100% |
15491
2.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9202
149.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9299
150.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
22636
366.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
24491
28.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
24737
28.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
98680
115.5 IPS |
|
|
Object Detection (SP)
|
100% |
8718
691.5 IPS |
|
|
Object Detection (HP)
|
100% |
8711
690.9 IPS |
|
|
Object Detection (Q)
|
88% |
18097
1.45 KIPS |
|
|
Face Detection (SP)
|
100% |
17928
213.0 IPS |
|
|
Face Detection (HP)
|
100% |
18281
217.2 IPS |
|
|
Face Detection (Q)
|
100% |
48275
573.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
22638
174.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
22581
174.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
61043
475.0 IPS |
|
|
Style Transfer (SP)
|
100% |
64956
83.5 IPS |
|
|
Style Transfer (HP)
|
100% |
64897
83.4 IPS |
|
|
Style Transfer (Q)
|
98% |
233516
301.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12906
476.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12901
476.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
36377
1.35 KIPS |
|
|
Text Classification (SP)
|
100% |
5104
6.81 KIPS |
|
|
Text Classification (HP)
|
100% |
5119
6.83 KIPS |
|
|
Text Classification (Q)
|
92% |
5868
7.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
7409
127.6 IPS |
|
|
Machine Translation (HP)
|
100% |
7389
127.3 IPS |
|
|
Machine Translation (Q)
|
100% |
7205
124.1 IPS |
