Gigabyte Technology Co., Ltd. X870 AORUS ELITE WIFI7 ICE
Geekbench AI Score
38494
Single Precision Score
65082
Half Precision Score
28874
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 31 2025 01:39 PM |
| Views | 11 |
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 AORUS ELITE WIFI7 ICE |
| Motherboard | Gigabyte Technology Co., Ltd. X870 AORUS ELITE WIFI7 ICE |
| 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 | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14841
2.76 KIPS |
|
|
Image Classification (HP)
|
100% |
22294
4.15 KIPS |
|
|
Image Classification (Q)
|
100% |
13143
2.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
29485
478.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
41949
680.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
26066
423.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
238288
278.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
755863
882.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
203123
237.9 IPS |
|
|
Object Detection (SP)
|
100% |
20350
1.61 KIPS |
|
|
Object Detection (HP)
|
100% |
31636
2.51 KIPS |
|
|
Object Detection (Q)
|
86% |
17336
1.39 KIPS |
|
|
Face Detection (SP)
|
100% |
59808
710.6 IPS |
|
|
Face Detection (HP)
|
100% |
86046
1.02 KIPS |
|
|
Face Detection (Q)
|
97% |
48601
579.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
91579
705.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
174556
1.34 KIPS |
|
|
Depth Estimation (Q)
|
78% |
67800
541.4 IPS |
|
|
Style Transfer (SP)
|
100% |
354601
455.8 IPS |
|
|
Style Transfer (HP)
|
100% |
1180835
1.52 KIPS |
|
|
Style Transfer (Q)
|
98% |
304994
393.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
57316
2.12 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
89661
3.31 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43013
1.59 KIPS |
|
|
Text Classification (SP)
|
100% |
4077
5.44 KIPS |
|
|
Text Classification (HP)
|
100% |
5118
6.83 KIPS |
|
|
Text Classification (Q)
|
97% |
2432
3.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
7419
127.8 IPS |
|
|
Machine Translation (HP)
|
100% |
7491
129.0 IPS |
|
|
Machine Translation (Q)
|
70% |
3176
59.6 IPS |
