Gigabyte Technology Co., Ltd. X870 GAMING WIFI6
Geekbench AI Score
13451
Single Precision Score
13539
Half Precision Score
30404
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | IronLad84 |
| Upload Date | February 28 2025 03:56 PM |
| Views | 7 |
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% |
7858
1.46 KIPS |
|
|
Image Classification (HP)
|
100% |
7818
1.45 KIPS |
|
|
Image Classification (Q)
|
100% |
15621
2.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9222
149.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9199
149.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
22450
363.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
24516
28.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
24569
28.7 IPS |
|
|
Pose Estimation (Q)
|
98% |
98654
115.5 IPS |
|
|
Object Detection (SP)
|
100% |
8586
681.1 IPS |
|
|
Object Detection (HP)
|
100% |
8712
691.0 IPS |
|
|
Object Detection (Q)
|
88% |
18002
1.44 KIPS |
|
|
Face Detection (SP)
|
100% |
17975
213.6 IPS |
|
|
Face Detection (HP)
|
100% |
18263
217.0 IPS |
|
|
Face Detection (Q)
|
100% |
48930
581.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
22540
173.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
22556
173.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
60819
473.2 IPS |
|
|
Style Transfer (SP)
|
100% |
64907
83.4 IPS |
|
|
Style Transfer (HP)
|
100% |
64851
83.4 IPS |
|
|
Style Transfer (Q)
|
98% |
232471
299.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13079
483.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13227
488.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
36353
1.35 KIPS |
|
|
Text Classification (SP)
|
100% |
4992
6.66 KIPS |
|
|
Text Classification (HP)
|
100% |
5141
6.86 KIPS |
|
|
Text Classification (Q)
|
92% |
5927
7.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
7403
127.5 IPS |
|
|
Machine Translation (HP)
|
100% |
7404
127.5 IPS |
|
|
Machine Translation (Q)
|
100% |
7272
125.3 IPS |
