Gigabyte Technology Co., Ltd. X870 EAGLE WIFI7
Geekbench AI Score
35730
Single Precision Score
62625
Half Precision Score
26789
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 14 2025 12:01 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X870 EAGLE WIFI7 |
| Motherboard | Gigabyte Technology Co., Ltd. X870 EAGLE WIFI7 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9900X |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14893
2.77 KIPS |
|
|
Image Classification (HP)
|
100% |
22903
4.26 KIPS |
|
|
Image Classification (Q)
|
100% |
13123
2.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
25260
409.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
36321
588.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
22381
363.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
182629
213.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
748019
872.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
163931
192.0 IPS |
|
|
Object Detection (SP)
|
100% |
19375
1.54 KIPS |
|
|
Object Detection (HP)
|
100% |
32614
2.59 KIPS |
|
|
Object Detection (Q)
|
86% |
15942
1.28 KIPS |
|
|
Face Detection (SP)
|
100% |
57045
677.8 IPS |
|
|
Face Detection (HP)
|
100% |
84007
998.2 IPS |
|
|
Face Detection (Q)
|
97% |
45691
544.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
91213
702.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
161601
1.25 KIPS |
|
|
Depth Estimation (Q)
|
78% |
68516
547.1 IPS |
|
|
Style Transfer (SP)
|
100% |
333563
428.8 IPS |
|
|
Style Transfer (HP)
|
100% |
1108576
1.43 KIPS |
|
|
Style Transfer (Q)
|
98% |
275581
355.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
50731
1.87 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
84979
3.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
38365
1.42 KIPS |
|
|
Text Classification (SP)
|
100% |
4135
5.52 KIPS |
|
|
Text Classification (HP)
|
100% |
5175
6.91 KIPS |
|
|
Text Classification (Q)
|
97% |
2487
3.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
6997
120.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6909
119.0 IPS |
|
|
Machine Translation (Q)
|
70% |
3013
56.5 IPS |
