Gigabyte Technology Co., Ltd. X870E AORUS MASTER
Geekbench AI Score
31479
Single Precision Score
45452
Half Precision Score
27859
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | June 17 2025 03:42 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 9070 |
| 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 |
| Power Plan | Prestazioni elevate |
| 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% |
14012
2.61 KIPS |
|
|
Image Classification (HP)
|
100% |
17218
3.20 KIPS |
|
|
Image Classification (Q)
|
99% |
13421
2.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15498
251.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
17544
284.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
19980
324.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
195710
228.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
610226
712.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
180777
211.8 IPS |
|
|
Object Detection (SP)
|
100% |
13614
1.08 KIPS |
|
|
Object Detection (HP)
|
99% |
19104
1.52 KIPS |
|
|
Object Detection (Q)
|
87% |
12948
1.04 KIPS |
|
|
Face Detection (SP)
|
100% |
47169
560.5 IPS |
|
|
Face Detection (HP)
|
100% |
52726
626.5 IPS |
|
|
Face Detection (Q)
|
97% |
42756
509.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
79508
612.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
125720
968.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
67194
538.5 IPS |
|
|
Style Transfer (SP)
|
100% |
351939
452.4 IPS |
|
|
Style Transfer (HP)
|
100% |
677465
870.9 IPS |
|
|
Style Transfer (Q)
|
98% |
322245
415.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
50966
1.88 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
81494
3.01 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43044
1.59 KIPS |
|
|
Text Classification (SP)
|
100% |
4458
5.95 KIPS |
|
|
Text Classification (HP)
|
100% |
5216
6.96 KIPS |
|
|
Text Classification (Q)
|
97% |
3202
4.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
5508
94.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5599
96.5 IPS |
|
|
Machine Translation (Q)
|
70% |
3517
66.0 IPS |
