Gigabyte Technology Co., Ltd. X870 GAMING X WIFI7
Geekbench AI Score
9269
Single Precision Score
3187
Half Precision Score
13078
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | firecall |
| Upload Date | August 05 2025 02:08 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 9800X3D 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X870 GAMING X WIFI7 |
| Motherboard | Gigabyte Technology Co., Ltd. X870 GAMING X WIFI7 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7940
1.48 KIPS |
|
|
Image Classification (HP)
|
100% |
1103
205.1 IPS |
|
|
Image Classification (Q)
|
99% |
13978
2.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3105
50.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1686
27.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
5057
82.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
15989
18.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
12392
14.5 IPS |
|
|
Pose Estimation (Q)
|
94% |
53542
62.8 IPS |
|
|
Object Detection (SP)
|
100% |
8010
635.4 IPS |
|
|
Object Detection (HP)
|
100% |
1439
114.2 IPS |
|
|
Object Detection (Q)
|
86% |
14486
1.16 KIPS |
|
|
Face Detection (SP)
|
100% |
19751
234.7 IPS |
|
|
Face Detection (HP)
|
100% |
3029
36.0 IPS |
|
|
Face Detection (Q)
|
97% |
15413
183.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
20136
155.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
4583
35.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
36427
290.7 IPS |
|
|
Style Transfer (SP)
|
100% |
38129
49.0 IPS |
|
|
Style Transfer (HP)
|
100% |
26284
33.8 IPS |
|
|
Style Transfer (Q)
|
98% |
46619
60.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5910
218.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5066
187.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6904
255.7 IPS |
|
|
Text Classification (SP)
|
100% |
3264
4.36 KIPS |
|
|
Text Classification (HP)
|
100% |
1362
1.82 KIPS |
|
|
Text Classification (Q)
|
97% |
2595
3.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
5071
87.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1297
22.3 IPS |
|
|
Machine Translation (Q)
|
65% |
5697
114.5 IPS |
