Gigabyte Technology Co., Ltd. X670E AORUS PRO X
Geekbench AI Score
6507
Single Precision Score
2555
Half Precision Score
11834
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Karp |
| Upload Date | December 30 2024 05:13 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X 16-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 9 9950X 16-Core Processor |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4525
841.5 IPS |
|
|
Image Classification (HP)
|
100% |
796
148.1 IPS |
|
|
Image Classification (Q)
|
99% |
11926
2.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2033
33.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1287
20.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
5055
82.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
20562
24.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
13953
16.3 IPS |
|
|
Pose Estimation (Q)
|
94% |
69932
82.0 IPS |
|
|
Object Detection (SP)
|
100% |
4801
380.9 IPS |
|
|
Object Detection (HP)
|
100% |
988
78.4 IPS |
|
|
Object Detection (Q)
|
86% |
13929
1.12 KIPS |
|
|
Face Detection (SP)
|
100% |
8513
101.2 IPS |
|
|
Face Detection (HP)
|
100% |
2306
27.4 IPS |
|
|
Face Detection (Q)
|
97% |
14809
176.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
15133
116.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3805
29.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
28210
225.1 IPS |
|
|
Style Transfer (SP)
|
100% |
35828
46.1 IPS |
|
|
Style Transfer (HP)
|
100% |
31123
40.0 IPS |
|
|
Style Transfer (Q)
|
98% |
40172
51.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4167
153.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3343
123.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6384
236.4 IPS |
|
|
Text Classification (SP)
|
100% |
2370
3.16 KIPS |
|
|
Text Classification (HP)
|
100% |
942
1.26 KIPS |
|
|
Text Classification (Q)
|
97% |
1914
2.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
3290
56.7 IPS |
|
|
Machine Translation (HP)
|
100% |
978
16.9 IPS |
|
|
Machine Translation (Q)
|
65% |
4475
89.9 IPS |
