Gigabyte Technology Co., Ltd. X870E AORUS MASTER
Geekbench AI Score
46008
Single Precision Score
67649
Half Precision Score
34504
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | February 13 2025 07:11 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X870E AORUS MASTER |
| Motherboard | Gigabyte Technology Co., Ltd. X870E AORUS MASTER |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D 8-Core Processor |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
17067
3.17 KIPS |
|
|
Image Classification (HP)
|
100% |
22496
4.18 KIPS |
|
|
Image Classification (Q)
|
100% |
14833
2.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
27946
453.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
34142
553.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
27468
446.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
398118
464.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
892590
1.04 KIPS |
|
|
Pose Estimation (Q)
|
96% |
314082
367.9 IPS |
|
|
Object Detection (SP)
|
100% |
24910
1.98 KIPS |
|
|
Object Detection (HP)
|
100% |
32763
2.60 KIPS |
|
|
Object Detection (Q)
|
85% |
20572
1.66 KIPS |
|
|
Face Detection (SP)
|
100% |
66809
793.8 IPS |
|
|
Face Detection (HP)
|
100% |
86507
1.03 KIPS |
|
|
Face Detection (Q)
|
97% |
54423
649.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
110392
850.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
193933
1.49 KIPS |
|
|
Depth Estimation (Q)
|
77% |
79420
636.1 IPS |
|
|
Style Transfer (SP)
|
100% |
626494
805.4 IPS |
|
|
Style Transfer (HP)
|
100% |
1742956
2.24 KIPS |
|
|
Style Transfer (Q)
|
98% |
529172
682.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
77342
2.86 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
99807
3.69 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
54446
2.02 KIPS |
|
|
Text Classification (SP)
|
100% |
4188
5.59 KIPS |
|
|
Text Classification (HP)
|
100% |
5079
6.78 KIPS |
|
|
Text Classification (Q)
|
97% |
2490
3.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
6004
103.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6030
103.9 IPS |
|
|
Machine Translation (Q)
|
70% |
2930
54.9 IPS |
