Gigabyte Technology Co., Ltd. X870E AORUS MASTER
Geekbench AI Score
38786
Single Precision Score
54747
Half Precision Score
33527
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 09 2025 09:22 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 9070 XT |
| 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 |
| 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% |
17912
3.33 KIPS |
|
|
Image Classification (HP)
|
100% |
20275
3.77 KIPS |
|
|
Image Classification (Q)
|
99% |
16592
3.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21109
342.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
24867
403.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
27875
453.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
227661
265.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
715113
834.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
204046
239.0 IPS |
|
|
Object Detection (SP)
|
100% |
16917
1.34 KIPS |
|
|
Object Detection (HP)
|
99% |
23813
1.89 KIPS |
|
|
Object Detection (Q)
|
87% |
18406
1.48 KIPS |
|
|
Face Detection (SP)
|
100% |
61217
727.4 IPS |
|
|
Face Detection (HP)
|
100% |
74872
889.6 IPS |
|
|
Face Detection (Q)
|
97% |
53480
637.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
92136
709.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
130969
1.01 KIPS |
|
|
Depth Estimation (Q)
|
77% |
76020
609.2 IPS |
|
|
Style Transfer (SP)
|
100% |
434313
558.3 IPS |
|
|
Style Transfer (HP)
|
100% |
801900
1.03 KIPS |
|
|
Style Transfer (Q)
|
98% |
392710
506.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
57805
2.13 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
93221
3.44 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
47548
1.76 KIPS |
|
|
Text Classification (SP)
|
100% |
4669
6.23 KIPS |
|
|
Text Classification (HP)
|
100% |
4638
6.19 KIPS |
|
|
Text Classification (Q)
|
97% |
3133
4.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
8003
137.8 IPS |
|
|
Machine Translation (HP)
|
100% |
8287
142.7 IPS |
|
|
Machine Translation (Q)
|
70% |
4344
81.5 IPS |
