Gigabyte Technology Co., Ltd. X870 EAGLE WIFI7
Geekbench AI Score
33464
Single Precision Score
57692
Half Precision Score
25520
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | November 14 2025 03:17 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% |
13962
2.60 KIPS |
|
|
Image Classification (HP)
|
100% |
21691
4.03 KIPS |
|
|
Image Classification (Q)
|
100% |
12415
2.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22319
361.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
31139
504.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
20669
336.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
175097
204.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
695978
812.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
157920
185.0 IPS |
|
|
Object Detection (SP)
|
100% |
17997
1.43 KIPS |
|
|
Object Detection (HP)
|
100% |
28743
2.28 KIPS |
|
|
Object Detection (Q)
|
86% |
14913
1.20 KIPS |
|
|
Face Detection (SP)
|
100% |
49565
588.9 IPS |
|
|
Face Detection (HP)
|
100% |
69840
829.8 IPS |
|
|
Face Detection (Q)
|
97% |
40925
488.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
87706
675.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
155656
1.20 KIPS |
|
|
Depth Estimation (Q)
|
78% |
66068
527.6 IPS |
|
|
Style Transfer (SP)
|
100% |
321588
413.4 IPS |
|
|
Style Transfer (HP)
|
100% |
1029866
1.32 KIPS |
|
|
Style Transfer (Q)
|
98% |
268837
346.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
49472
1.83 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
82807
3.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37697
1.40 KIPS |
|
|
Text Classification (SP)
|
100% |
4162
5.55 KIPS |
|
|
Text Classification (HP)
|
100% |
5223
6.97 KIPS |
|
|
Text Classification (Q)
|
97% |
2437
3.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
6231
107.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6244
107.6 IPS |
|
|
Machine Translation (Q)
|
70% |
2904
54.5 IPS |
