Gigabyte Technology Co., Ltd. X870 AORUS ELITE WIFI7
Geekbench AI Score
46332
Single Precision Score
68171
Half Precision Score
33977
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | kalling |
| Upload Date | May 22 2025 01:34 AM |
| Views | 7 |
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 AORUS ELITE WIFI7 |
| Motherboard | Gigabyte Technology Co., Ltd. X870 AORUS ELITE WIFI7 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9900X 12-Core Processor |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
17788
3.31 KIPS |
|
|
Image Classification (HP)
|
100% |
22726
4.23 KIPS |
|
|
Image Classification (Q)
|
100% |
15008
2.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
29806
483.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
35912
582.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
27437
446.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
398444
464.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
916982
1.07 KIPS |
|
|
Pose Estimation (Q)
|
96% |
321353
376.4 IPS |
|
|
Object Detection (SP)
|
100% |
24250
1.92 KIPS |
|
|
Object Detection (HP)
|
100% |
31100
2.47 KIPS |
|
|
Object Detection (Q)
|
85% |
19658
1.58 KIPS |
|
|
Face Detection (SP)
|
100% |
73001
867.4 IPS |
|
|
Face Detection (HP)
|
100% |
97035
1.15 KIPS |
|
|
Face Detection (Q)
|
97% |
57694
688.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
106939
823.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
193615
1.49 KIPS |
|
|
Depth Estimation (Q)
|
77% |
75763
606.8 IPS |
|
|
Style Transfer (SP)
|
100% |
594210
763.9 IPS |
|
|
Style Transfer (HP)
|
100% |
1665344
2.14 KIPS |
|
|
Style Transfer (Q)
|
98% |
499029
643.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
72195
2.67 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
95346
3.52 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
51611
1.91 KIPS |
|
|
Text Classification (SP)
|
100% |
4247
5.67 KIPS |
|
|
Text Classification (HP)
|
100% |
5049
6.74 KIPS |
|
|
Text Classification (Q)
|
97% |
2406
3.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
6257
107.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6184
106.5 IPS |
|
|
Machine Translation (Q)
|
70% |
2911
54.6 IPS |
