Gigabyte Technology Co., Ltd. X670E AORUS MASTER
Geekbench AI Score
4270
Single Precision Score
1060
Half Precision Score
5714
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Mackai |
| Upload Date | August 16 2024 03:34 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 7700X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X670E AORUS MASTER |
| Motherboard | Gigabyte Technology Co., Ltd. X670E AORUS MASTER |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2435
452.8 IPS |
|
|
Image Classification (HP)
|
100% |
195
36.2 IPS |
|
|
Image Classification (Q)
|
99% |
6447
1.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2400
38.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
326
5.29 IPS |
|
|
Image Segmentation (Q)
|
98% |
3080
50.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6725
7.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
5819
6.79 IPS |
|
|
Pose Estimation (Q)
|
95% |
27577
32.3 IPS |
|
|
Object Detection (SP)
|
100% |
2901
230.1 IPS |
|
|
Object Detection (HP)
|
100% |
273
21.6 IPS |
|
|
Object Detection (Q)
|
88% |
2949
236.4 IPS |
|
|
Face Detection (SP)
|
100% |
4491
53.4 IPS |
|
|
Face Detection (HP)
|
100% |
416
4.94 IPS |
|
|
Face Detection (Q)
|
97% |
6582
78.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8755
67.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1304
10.0 IPS |
|
|
Depth Estimation (Q)
|
76% |
13869
111.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18980
24.4 IPS |
|
|
Style Transfer (HP)
|
100% |
14900
19.2 IPS |
|
|
Style Transfer (Q)
|
98% |
32076
41.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2977
109.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2646
97.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4952
183.4 IPS |
|
|
Text Classification (SP)
|
100% |
2546
3.40 KIPS |
|
|
Text Classification (HP)
|
100% |
996
1.33 KIPS |
|
|
Text Classification (Q)
|
97% |
495
663.2 IPS |
|
|
Machine Translation (SP)
|
100% |
3129
53.9 IPS |
|
|
Machine Translation (HP)
|
100% |
837
14.4 IPS |
|
|
Machine Translation (Q)
|
60% |
3203
71.4 IPS |
