Gigabyte Technology Co., Ltd. X870 EAGLE WIFI7
Geekbench AI Score
34125
Single Precision Score
59037
Half Precision Score
25972
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 05 2025 09:05 AM |
| Views | 10 |
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 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% |
14247
2.65 KIPS |
|
|
Image Classification (HP)
|
100% |
21856
4.06 KIPS |
|
|
Image Classification (Q)
|
100% |
12682
2.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22949
372.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
32315
523.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
21403
348.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
179291
209.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
709008
827.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
161736
189.4 IPS |
|
|
Object Detection (SP)
|
100% |
18671
1.48 KIPS |
|
|
Object Detection (HP)
|
100% |
30901
2.45 KIPS |
|
|
Object Detection (Q)
|
86% |
15418
1.24 KIPS |
|
|
Face Detection (SP)
|
100% |
51105
607.2 IPS |
|
|
Face Detection (HP)
|
100% |
72777
864.7 IPS |
|
|
Face Detection (Q)
|
97% |
41953
500.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
88969
685.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
158056
1.22 KIPS |
|
|
Depth Estimation (Q)
|
78% |
66287
529.3 IPS |
|
|
Style Transfer (SP)
|
100% |
325251
418.1 IPS |
|
|
Style Transfer (HP)
|
100% |
1052822
1.35 KIPS |
|
|
Style Transfer (Q)
|
98% |
268464
346.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
50389
1.86 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
83447
3.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
38620
1.43 KIPS |
|
|
Text Classification (SP)
|
100% |
4115
5.49 KIPS |
|
|
Text Classification (HP)
|
100% |
5171
6.90 KIPS |
|
|
Text Classification (Q)
|
97% |
2453
3.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
6381
109.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6361
109.6 IPS |
|
|
Machine Translation (Q)
|
70% |
2918
54.7 IPS |
