Gigabyte Technology Co., Ltd. X870 GAMING WIFI6
Geekbench AI Score
13050
Single Precision Score
13032
Half Precision Score
29556
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | IronLad84 |
| Upload Date | February 25 2025 07:24 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% |
7166
1.33 KIPS |
|
|
Image Classification (HP)
|
100% |
7173
1.33 KIPS |
|
|
Image Classification (Q)
|
100% |
14807
2.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8597
139.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
8716
141.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
21168
343.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
24471
28.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
24566
28.7 IPS |
|
|
Pose Estimation (Q)
|
98% |
97734
114.4 IPS |
|
|
Object Detection (SP)
|
100% |
8144
646.0 IPS |
|
|
Object Detection (HP)
|
100% |
8069
640.1 IPS |
|
|
Object Detection (Q)
|
88% |
17337
1.39 KIPS |
|
|
Face Detection (SP)
|
100% |
17658
209.8 IPS |
|
|
Face Detection (HP)
|
100% |
18035
214.3 IPS |
|
|
Face Detection (Q)
|
100% |
47142
560.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
21646
166.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
21682
167.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
58685
456.6 IPS |
|
|
Style Transfer (SP)
|
100% |
65088
83.7 IPS |
|
|
Style Transfer (HP)
|
100% |
64858
83.4 IPS |
|
|
Style Transfer (Q)
|
98% |
232948
300.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12865
475.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12882
475.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
34925
1.29 KIPS |
|
|
Text Classification (SP)
|
100% |
4873
6.50 KIPS |
|
|
Text Classification (HP)
|
100% |
4750
6.34 KIPS |
|
|
Text Classification (Q)
|
92% |
6003
8.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
7485
128.9 IPS |
|
|
Machine Translation (HP)
|
100% |
7349
126.6 IPS |
|
|
Machine Translation (Q)
|
100% |
7090
122.1 IPS |
