Gigabyte Technology Co., Ltd. X870 EAGLE WIFI7
Geekbench AI Score
33608
Single Precision Score
57584
Half Precision Score
25398
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | October 25 2025 09:45 AM |
| Views | 2 |
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 9900X3D |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14187
2.64 KIPS |
|
|
Image Classification (HP)
|
100% |
21515
4.00 KIPS |
|
|
Image Classification (Q)
|
100% |
12529
2.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22424
363.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
31164
505.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
20593
334.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
177962
207.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
687089
801.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
160874
188.4 IPS |
|
|
Object Detection (SP)
|
100% |
18232
1.45 KIPS |
|
|
Object Detection (HP)
|
100% |
30187
2.39 KIPS |
|
|
Object Detection (Q)
|
86% |
15020
1.21 KIPS |
|
|
Face Detection (SP)
|
100% |
50323
597.9 IPS |
|
|
Face Detection (HP)
|
100% |
70090
832.8 IPS |
|
|
Face Detection (Q)
|
97% |
39049
465.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
87841
676.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
150557
1.16 KIPS |
|
|
Depth Estimation (Q)
|
78% |
65968
526.8 IPS |
|
|
Style Transfer (SP)
|
100% |
327620
421.2 IPS |
|
|
Style Transfer (HP)
|
100% |
1065790
1.37 KIPS |
|
|
Style Transfer (Q)
|
98% |
267876
345.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
49683
1.83 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
82699
3.05 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37956
1.41 KIPS |
|
|
Text Classification (SP)
|
100% |
3995
5.33 KIPS |
|
|
Text Classification (HP)
|
100% |
4995
6.67 KIPS |
|
|
Text Classification (Q)
|
97% |
2373
3.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
6197
106.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6205
106.9 IPS |
|
|
Machine Translation (Q)
|
70% |
2883
54.1 IPS |
