Gigabyte Technology Co., Ltd. X870 GAMING WIFI6
Geekbench AI Score
13170
Single Precision Score
13249
Half Precision Score
29998
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | IronLad84 |
| Upload Date | March 03 2025 01:41 PM |
| Views | 10 |
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% |
7723
1.44 KIPS |
|
|
Image Classification (HP)
|
100% |
7717
1.44 KIPS |
|
|
Image Classification (Q)
|
100% |
15478
2.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9025
146.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9086
147.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
22559
365.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
23806
27.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
23877
27.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
94960
111.2 IPS |
|
|
Object Detection (SP)
|
100% |
8507
674.8 IPS |
|
|
Object Detection (HP)
|
100% |
8560
679.0 IPS |
|
|
Object Detection (Q)
|
88% |
17957
1.44 KIPS |
|
|
Face Detection (SP)
|
100% |
18245
216.8 IPS |
|
|
Face Detection (HP)
|
100% |
18207
216.3 IPS |
|
|
Face Detection (Q)
|
100% |
48377
574.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
22248
171.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
22192
171.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
60113
467.7 IPS |
|
|
Style Transfer (SP)
|
100% |
62932
80.9 IPS |
|
|
Style Transfer (HP)
|
100% |
63407
81.5 IPS |
|
|
Style Transfer (Q)
|
98% |
224135
289.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12528
462.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12754
470.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
35613
1.32 KIPS |
|
|
Text Classification (SP)
|
100% |
4855
6.48 KIPS |
|
|
Text Classification (HP)
|
100% |
4967
6.63 KIPS |
|
|
Text Classification (Q)
|
92% |
6073
8.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
7160
123.3 IPS |
|
|
Machine Translation (HP)
|
100% |
7169
123.5 IPS |
|
|
Machine Translation (Q)
|
100% |
7032
121.1 IPS |
