Gigabyte Technology Co., Ltd. X670E AORUS MASTER
Geekbench AI Score
7375
Single Precision Score
7347
Half Precision Score
18968
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Mackai |
| Upload Date | August 16 2024 03:42 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 7700X 8-Core Processor |
| 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% |
5101
948.7 IPS |
|
|
Image Classification (HP)
|
100% |
5026
934.7 IPS |
|
|
Image Classification (Q)
|
100% |
11903
2.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4316
70.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4279
69.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
10012
162.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9191
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
9054
10.6 IPS |
|
|
Pose Estimation (Q)
|
98% |
35901
42.0 IPS |
|
|
Object Detection (SP)
|
100% |
4514
358.1 IPS |
|
|
Object Detection (HP)
|
100% |
4476
355.1 IPS |
|
|
Object Detection (Q)
|
88% |
12907
1.03 KIPS |
|
|
Face Detection (SP)
|
100% |
11937
141.8 IPS |
|
|
Face Detection (HP)
|
100% |
11886
141.2 IPS |
|
|
Face Detection (Q)
|
100% |
33042
392.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
10643
82.0 IPS |
|
|
Depth Estimation (HP)
|
100% |
11367
87.6 IPS |
|
|
Depth Estimation (Q)
|
80% |
34800
275.8 IPS |
|
|
Style Transfer (SP)
|
100% |
25402
32.7 IPS |
|
|
Style Transfer (HP)
|
100% |
25501
32.8 IPS |
|
|
Style Transfer (Q)
|
98% |
92954
119.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5753
212.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5722
211.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18425
682.3 IPS |
|
|
Text Classification (SP)
|
100% |
4381
5.85 KIPS |
|
|
Text Classification (HP)
|
100% |
4347
5.80 KIPS |
|
|
Text Classification (Q)
|
92% |
6125
8.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
6409
110.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6138
105.7 IPS |
|
|
Machine Translation (Q)
|
85% |
9052
158.2 IPS |
