Gigabyte Technology Co., Ltd. X870 EAGLE WIFI7
Geekbench AI Score
34358
Single Precision Score
59540
Half Precision Score
26278
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | November 13 2025 12:51 PM |
| 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 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% |
14609
2.72 KIPS |
|
|
Image Classification (HP)
|
100% |
22494
4.18 KIPS |
|
|
Image Classification (Q)
|
100% |
12861
2.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22732
368.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
31718
514.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
21182
344.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
181930
212.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
718380
838.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
163833
191.9 IPS |
|
|
Object Detection (SP)
|
100% |
18528
1.47 KIPS |
|
|
Object Detection (HP)
|
100% |
30835
2.45 KIPS |
|
|
Object Detection (Q)
|
86% |
15582
1.25 KIPS |
|
|
Face Detection (SP)
|
100% |
50841
604.1 IPS |
|
|
Face Detection (HP)
|
100% |
72020
855.8 IPS |
|
|
Face Detection (Q)
|
97% |
42046
501.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
89719
691.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
160574
1.24 KIPS |
|
|
Depth Estimation (Q)
|
78% |
67005
535.1 IPS |
|
|
Style Transfer (SP)
|
100% |
329895
424.1 IPS |
|
|
Style Transfer (HP)
|
100% |
1069277
1.37 KIPS |
|
|
Style Transfer (Q)
|
98% |
275540
355.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
51154
1.89 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
86789
3.20 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
39301
1.46 KIPS |
|
|
Text Classification (SP)
|
100% |
4176
5.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5217
6.96 KIPS |
|
|
Text Classification (Q)
|
97% |
2542
3.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
6371
109.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6328
109.0 IPS |
|
|
Machine Translation (Q)
|
70% |
2912
54.6 IPS |
