Gigabyte Technology Co., Ltd. X670E AORUS PRO X
Geekbench AI Score
6223
Single Precision Score
2444
Half Precision Score
11508
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | cgraff |
| Upload Date | January 22 2025 01:01 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 9800X3D 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X670E AORUS PRO X |
| Motherboard | Gigabyte Technology Co., Ltd. X670E AORUS PRO X |
| Power Plan | Balanced |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5328
990.9 IPS |
|
|
Image Classification (HP)
|
100% |
925
172.0 IPS |
|
|
Image Classification (Q)
|
99% |
12638
2.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2531
41.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1305
21.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
4730
76.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9213
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
7696
8.98 IPS |
|
|
Pose Estimation (Q)
|
94% |
40940
48.0 IPS |
|
|
Object Detection (SP)
|
100% |
5318
421.8 IPS |
|
|
Object Detection (HP)
|
100% |
1095
86.9 IPS |
|
|
Object Detection (Q)
|
86% |
12991
1.04 KIPS |
|
|
Face Detection (SP)
|
100% |
10993
130.6 IPS |
|
|
Face Detection (HP)
|
100% |
2569
30.5 IPS |
|
|
Face Detection (Q)
|
97% |
13578
161.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
12144
93.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3480
26.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
30454
243.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22490
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
17437
22.4 IPS |
|
|
Style Transfer (Q)
|
98% |
39226
50.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3858
142.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3303
122.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6314
233.8 IPS |
|
|
Text Classification (SP)
|
100% |
2760
3.68 KIPS |
|
|
Text Classification (HP)
|
100% |
1259
1.68 KIPS |
|
|
Text Classification (Q)
|
97% |
2474
3.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
4130
71.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1156
19.9 IPS |
|
|
Machine Translation (Q)
|
65% |
5058
101.6 IPS |
