Gigabyte Technology Co., Ltd. X870 EAGLE WIFI7
Geekbench AI Score
35845
Single Precision Score
59501
Half Precision Score
27540
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 16 2025 04:09 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5080 |
| 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 9950X3D |
| 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% |
14579
2.71 KIPS |
|
|
Image Classification (HP)
|
100% |
21262
3.95 KIPS |
|
|
Image Classification (Q)
|
100% |
12903
2.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22981
372.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
30650
496.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
21628
351.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
237248
276.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
723401
844.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
203166
238.0 IPS |
|
|
Object Detection (SP)
|
100% |
19662
1.56 KIPS |
|
|
Object Detection (HP)
|
100% |
30341
2.41 KIPS |
|
|
Object Detection (Q)
|
86% |
16965
1.36 KIPS |
|
|
Face Detection (SP)
|
100% |
52405
622.7 IPS |
|
|
Face Detection (HP)
|
100% |
73958
878.8 IPS |
|
|
Face Detection (Q)
|
97% |
42743
509.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
91568
705.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
171542
1.32 KIPS |
|
|
Depth Estimation (Q)
|
78% |
67732
540.9 IPS |
|
|
Style Transfer (SP)
|
100% |
346742
445.7 IPS |
|
|
Style Transfer (HP)
|
100% |
1163927
1.50 KIPS |
|
|
Style Transfer (Q)
|
98% |
303607
391.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
57467
2.12 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
89302
3.30 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43464
1.61 KIPS |
|
|
Text Classification (SP)
|
100% |
3974
5.30 KIPS |
|
|
Text Classification (HP)
|
100% |
4967
6.63 KIPS |
|
|
Text Classification (Q)
|
97% |
2408
3.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
5897
101.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5937
102.3 IPS |
|
|
Machine Translation (Q)
|
70% |
2837
53.2 IPS |
