Gigabyte Technology Co., Ltd. X870 GAMING WIFI6
Geekbench AI Score
13513
Single Precision Score
13493
Half Precision Score
30548
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | IronLad84 |
| Upload Date | March 03 2025 02:24 PM |
| Views | 12 |
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% |
7855
1.46 KIPS |
|
|
Image Classification (HP)
|
100% |
7858
1.46 KIPS |
|
|
Image Classification (Q)
|
100% |
15612
2.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9268
150.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9197
149.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
22731
368.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
24749
28.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
24745
28.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
98254
115.0 IPS |
|
|
Object Detection (SP)
|
100% |
8681
688.5 IPS |
|
|
Object Detection (HP)
|
100% |
8701
690.2 IPS |
|
|
Object Detection (Q)
|
88% |
18070
1.45 KIPS |
|
|
Face Detection (SP)
|
100% |
18367
218.2 IPS |
|
|
Face Detection (HP)
|
100% |
18474
219.5 IPS |
|
|
Face Detection (Q)
|
100% |
48238
573.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
22616
174.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
22197
171.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
61132
475.7 IPS |
|
|
Style Transfer (SP)
|
100% |
64870
83.4 IPS |
|
|
Style Transfer (HP)
|
100% |
65521
84.2 IPS |
|
|
Style Transfer (Q)
|
98% |
233189
300.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13128
484.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13272
490.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
36356
1.35 KIPS |
|
|
Text Classification (SP)
|
100% |
5087
6.79 KIPS |
|
|
Text Classification (HP)
|
100% |
4878
6.51 KIPS |
|
|
Text Classification (Q)
|
92% |
6112
8.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
7218
124.3 IPS |
|
|
Machine Translation (HP)
|
100% |
7394
127.4 IPS |
|
|
Machine Translation (Q)
|
100% |
7352
126.6 IPS |
