Gigabyte Technology Co., Ltd. X870E AORUS PRO
Geekbench AI Score
35308
Single Precision Score
49319
Half Precision Score
30573
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | SerpentXSF |
| Upload Date | June 13 2025 03:10 AM |
| Views | 9 |
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 PRO |
| Motherboard | Gigabyte Technology Co., Ltd. X870E AORUS PRO |
| Power Plan | Balanced |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
16506
3.07 KIPS |
|
|
Image Classification (HP)
|
100% |
18933
3.52 KIPS |
|
|
Image Classification (Q)
|
99% |
15405
2.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17232
279.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
19826
321.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
21966
357.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
211392
246.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
639148
745.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
191456
224.3 IPS |
|
|
Object Detection (SP)
|
100% |
15977
1.27 KIPS |
|
|
Object Detection (HP)
|
99% |
21504
1.71 KIPS |
|
|
Object Detection (Q)
|
87% |
14840
1.19 KIPS |
|
|
Face Detection (SP)
|
100% |
51756
615.0 IPS |
|
|
Face Detection (HP)
|
100% |
56269
668.6 IPS |
|
|
Face Detection (Q)
|
97% |
45646
544.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
88995
685.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
133086
1.03 KIPS |
|
|
Depth Estimation (Q)
|
77% |
73799
591.4 IPS |
|
|
Style Transfer (SP)
|
100% |
402067
516.9 IPS |
|
|
Style Transfer (HP)
|
100% |
719724
925.2 IPS |
|
|
Style Transfer (Q)
|
98% |
362131
467.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
54784
2.02 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
88520
3.27 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
45280
1.68 KIPS |
|
|
Text Classification (SP)
|
100% |
5211
6.96 KIPS |
|
|
Text Classification (HP)
|
100% |
5718
7.63 KIPS |
|
|
Text Classification (Q)
|
97% |
3610
4.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
5929
102.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6050
104.2 IPS |
|
|
Machine Translation (Q)
|
70% |
3722
69.8 IPS |
