Gigabyte Technology Co., Ltd. X870 EAGLE WIFI7
Geekbench AI Score
32715
Single Precision Score
56635
Half Precision Score
24869
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 10 2025 09:27 AM |
| Views | 7 |
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 9900X |
| 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% |
13724
2.55 KIPS |
|
|
Image Classification (HP)
|
100% |
20798
3.87 KIPS |
|
|
Image Classification (Q)
|
100% |
12061
2.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22006
356.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
31009
502.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
20451
332.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
170773
199.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
677883
791.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
155130
181.7 IPS |
|
|
Object Detection (SP)
|
100% |
17473
1.39 KIPS |
|
|
Object Detection (HP)
|
100% |
28922
2.29 KIPS |
|
|
Object Detection (Q)
|
86% |
14517
1.17 KIPS |
|
|
Face Detection (SP)
|
100% |
48592
577.4 IPS |
|
|
Face Detection (HP)
|
100% |
69231
822.6 IPS |
|
|
Face Detection (Q)
|
97% |
40173
479.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
84509
651.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
150501
1.16 KIPS |
|
|
Depth Estimation (Q)
|
78% |
63160
504.4 IPS |
|
|
Style Transfer (SP)
|
100% |
318468
409.4 IPS |
|
|
Style Transfer (HP)
|
100% |
1027730
1.32 KIPS |
|
|
Style Transfer (Q)
|
98% |
263757
340.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
48191
1.78 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
80149
2.96 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36679
1.36 KIPS |
|
|
Text Classification (SP)
|
100% |
4030
5.38 KIPS |
|
|
Text Classification (HP)
|
100% |
5097
6.80 KIPS |
|
|
Text Classification (Q)
|
97% |
2307
3.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
6137
105.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6139
105.8 IPS |
|
|
Machine Translation (Q)
|
70% |
2877
54.0 IPS |
