Gigabyte Technology Co., Ltd. X870 GAMING WIFI6
Geekbench AI Score
13441
Single Precision Score
13313
Half Precision Score
30362
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | IronLad84 |
| Upload Date | February 27 2025 08:39 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% |
7802
1.45 KIPS |
|
|
Image Classification (HP)
|
100% |
7099
1.32 KIPS |
|
|
Image Classification (Q)
|
100% |
15663
2.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9192
149.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9295
150.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
22606
366.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
24588
28.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
24971
29.1 IPS |
|
|
Pose Estimation (Q)
|
98% |
98682
115.5 IPS |
|
|
Object Detection (SP)
|
100% |
8521
675.9 IPS |
|
|
Object Detection (HP)
|
100% |
8531
676.7 IPS |
|
|
Object Detection (Q)
|
88% |
18003
1.44 KIPS |
|
|
Face Detection (SP)
|
100% |
18735
222.6 IPS |
|
|
Face Detection (HP)
|
100% |
18261
217.0 IPS |
|
|
Face Detection (Q)
|
100% |
47312
562.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
22354
172.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
22440
172.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
60655
472.0 IPS |
|
|
Style Transfer (SP)
|
100% |
65001
83.6 IPS |
|
|
Style Transfer (HP)
|
100% |
64883
83.4 IPS |
|
|
Style Transfer (Q)
|
98% |
232985
300.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13047
481.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13166
486.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
36130
1.34 KIPS |
|
|
Text Classification (SP)
|
100% |
4887
6.52 KIPS |
|
|
Text Classification (HP)
|
100% |
4914
6.56 KIPS |
|
|
Text Classification (Q)
|
92% |
6069
8.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
7384
127.2 IPS |
|
|
Machine Translation (HP)
|
100% |
7237
124.7 IPS |
|
|
Machine Translation (Q)
|
100% |
7221
124.4 IPS |
