Gigabyte Technology Co., Ltd. X870 GAMING WIFI6
Geekbench AI Score
13430
Single Precision Score
13454
Half Precision Score
30324
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | IronLad84 |
| Upload Date | March 01 2025 04:10 PM |
| Views | 6 |
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% |
7817
1.45 KIPS |
|
|
Image Classification (HP)
|
100% |
7841
1.46 KIPS |
|
|
Image Classification (Q)
|
100% |
15621
2.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9204
149.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9345
151.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
22877
370.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
24839
29.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
25034
29.2 IPS |
|
|
Pose Estimation (Q)
|
98% |
98677
115.5 IPS |
|
|
Object Detection (SP)
|
100% |
8657
686.7 IPS |
|
|
Object Detection (HP)
|
100% |
8307
658.9 IPS |
|
|
Object Detection (Q)
|
88% |
17408
1.40 KIPS |
|
|
Face Detection (SP)
|
100% |
18265
217.0 IPS |
|
|
Face Detection (HP)
|
100% |
18400
218.6 IPS |
|
|
Face Detection (Q)
|
100% |
48914
581.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
22627
174.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
22720
175.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
60715
472.4 IPS |
|
|
Style Transfer (SP)
|
100% |
64980
83.5 IPS |
|
|
Style Transfer (HP)
|
100% |
64907
83.4 IPS |
|
|
Style Transfer (Q)
|
98% |
233919
301.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12795
472.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12712
469.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
35097
1.30 KIPS |
|
|
Text Classification (SP)
|
100% |
4899
6.54 KIPS |
|
|
Text Classification (HP)
|
100% |
4992
6.66 KIPS |
|
|
Text Classification (Q)
|
92% |
6076
8.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
7334
126.3 IPS |
|
|
Machine Translation (HP)
|
100% |
7411
127.6 IPS |
|
|
Machine Translation (Q)
|
100% |
7230
124.5 IPS |
