Gigabyte Technology Co., Ltd. X870 EAGLE WIFI7
Geekbench AI Score
49865
Single Precision Score
75697
Half Precision Score
36388
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 05 2025 10:12 AM |
| Views | 20 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| 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% |
17927
3.33 KIPS |
|
|
Image Classification (HP)
|
100% |
23441
4.36 KIPS |
|
|
Image Classification (Q)
|
100% |
15303
2.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
38659
626.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
50319
815.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
35733
581.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
413388
482.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
1021990
1.19 KIPS |
|
|
Pose Estimation (Q)
|
96% |
330097
386.7 IPS |
|
|
Object Detection (SP)
|
100% |
25928
2.06 KIPS |
|
|
Object Detection (HP)
|
100% |
34326
2.72 KIPS |
|
|
Object Detection (Q)
|
85% |
21054
1.70 KIPS |
|
|
Face Detection (SP)
|
100% |
77761
924.0 IPS |
|
|
Face Detection (HP)
|
100% |
105446
1.25 KIPS |
|
|
Face Detection (Q)
|
97% |
61004
727.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
108601
836.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
197518
1.52 KIPS |
|
|
Depth Estimation (Q)
|
77% |
78068
625.3 IPS |
|
|
Style Transfer (SP)
|
100% |
615324
791.0 IPS |
|
|
Style Transfer (HP)
|
100% |
1783190
2.29 KIPS |
|
|
Style Transfer (Q)
|
98% |
514088
662.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
75598
2.79 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
102196
3.77 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
54212
2.01 KIPS |
|
|
Text Classification (SP)
|
100% |
4227
5.64 KIPS |
|
|
Text Classification (HP)
|
100% |
5133
6.85 KIPS |
|
|
Text Classification (Q)
|
97% |
2480
3.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
7707
132.7 IPS |
|
|
Machine Translation (HP)
|
100% |
7663
132.0 IPS |
|
|
Machine Translation (Q)
|
70% |
3254
61.0 IPS |
