Gigabyte Technology Co., Ltd. X870 EAGLE WIFI7
Geekbench AI Score
33556
Single Precision Score
57752
Half Precision Score
25475
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | October 24 2025 01:21 PM |
| Views | 5 |
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 9950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14195
2.64 KIPS |
|
|
Image Classification (HP)
|
100% |
21651
4.03 KIPS |
|
|
Image Classification (Q)
|
100% |
12381
2.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22027
357.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
30826
499.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
20565
334.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
177628
207.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
685989
800.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
160833
188.4 IPS |
|
|
Object Detection (SP)
|
100% |
18012
1.43 KIPS |
|
|
Object Detection (HP)
|
100% |
30331
2.41 KIPS |
|
|
Object Detection (Q)
|
86% |
14975
1.20 KIPS |
|
|
Face Detection (SP)
|
100% |
49821
592.0 IPS |
|
|
Face Detection (HP)
|
100% |
69501
825.8 IPS |
|
|
Face Detection (Q)
|
97% |
40992
488.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
88043
678.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
150320
1.16 KIPS |
|
|
Depth Estimation (Q)
|
78% |
65820
525.6 IPS |
|
|
Style Transfer (SP)
|
100% |
325410
418.3 IPS |
|
|
Style Transfer (HP)
|
100% |
1046477
1.35 KIPS |
|
|
Style Transfer (Q)
|
98% |
270093
348.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
49644
1.83 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
83867
3.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37461
1.39 KIPS |
|
|
Text Classification (SP)
|
100% |
4171
5.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5290
7.06 KIPS |
|
|
Text Classification (Q)
|
97% |
2404
3.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
6122
105.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6128
105.6 IPS |
|
|
Machine Translation (Q)
|
70% |
2861
53.7 IPS |
