Gigabyte Technology Co., Ltd. X870E AORUS MASTER
Geekbench AI Score
20738
Single Precision Score
38751
Half Precision Score
15433
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | June 06 2025 08:08 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X870E AORUS MASTER |
| Motherboard | Gigabyte Technology Co., Ltd. X870E AORUS MASTER |
| Power Plan | High performance |
| 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% |
8457
1.57 KIPS |
|
|
Image Classification (HP)
|
100% |
15925
2.96 KIPS |
|
|
Image Classification (Q)
|
100% |
7305
1.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14826
240.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
22942
371.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
13832
224.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
102167
119.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
320834
374.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
85383
100.1 IPS |
|
|
Object Detection (SP)
|
100% |
11284
895.0 IPS |
|
|
Object Detection (HP)
|
100% |
19330
1.53 KIPS |
|
|
Object Detection (Q)
|
89% |
9167
734.0 IPS |
|
|
Face Detection (SP)
|
100% |
25258
300.1 IPS |
|
|
Face Detection (HP)
|
100% |
42694
507.3 IPS |
|
|
Face Detection (Q)
|
97% |
20481
244.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
49827
383.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
100837
776.9 IPS |
|
|
Depth Estimation (Q)
|
76% |
39212
315.2 IPS |
|
|
Style Transfer (SP)
|
100% |
156606
201.3 IPS |
|
|
Style Transfer (HP)
|
100% |
554079
712.3 IPS |
|
|
Style Transfer (Q)
|
98% |
132065
170.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29365
1.08 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
59458
2.20 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
22811
844.7 IPS |
|
|
Text Classification (SP)
|
100% |
3618
4.83 KIPS |
|
|
Text Classification (HP)
|
100% |
4526
6.04 KIPS |
|
|
Text Classification (Q)
|
97% |
2300
3.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
4861
83.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5250
90.4 IPS |
|
|
Machine Translation (Q)
|
60% |
1742
38.9 IPS |
