Gigabyte Technology Co., Ltd. X670 AORUS ELITE AX
Geekbench AI Score
7514
Single Precision Score
7530
Half Precision Score
20096
Quantized Score
Geekbench AI 1.0.0 Corporate for Windows AVX2
Result Information
| Upload Date | August 11 2024 08:40 PM |
| Views | 15 |
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. X670 AORUS ELITE AX |
| Motherboard | Gigabyte Technology Co., Ltd. X670 AORUS ELITE AX |
| Power Plan | Balanced |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5274
980.8 IPS |
|
|
Image Classification (HP)
|
100% |
5256
977.5 IPS |
|
|
Image Classification (Q)
|
100% |
12441
2.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4443
72.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4450
72.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
11471
185.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9206
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
9226
10.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
36979
43.3 IPS |
|
|
Object Detection (SP)
|
100% |
4708
373.4 IPS |
|
|
Object Detection (HP)
|
100% |
4649
368.8 IPS |
|
|
Object Detection (Q)
|
88% |
13406
1.07 KIPS |
|
|
Face Detection (SP)
|
100% |
10269
122.0 IPS |
|
|
Face Detection (HP)
|
100% |
10304
122.4 IPS |
|
|
Face Detection (Q)
|
100% |
34077
404.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
11519
88.8 IPS |
|
|
Depth Estimation (HP)
|
100% |
11615
89.5 IPS |
|
|
Depth Estimation (Q)
|
80% |
37160
294.5 IPS |
|
|
Style Transfer (SP)
|
100% |
25881
33.3 IPS |
|
|
Style Transfer (HP)
|
100% |
25992
33.4 IPS |
|
|
Style Transfer (Q)
|
98% |
97380
125.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5973
220.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5974
220.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19122
708.2 IPS |
|
|
Text Classification (SP)
|
100% |
4661
6.22 KIPS |
|
|
Text Classification (HP)
|
100% |
4656
6.21 KIPS |
|
|
Text Classification (Q)
|
92% |
6686
8.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
6630
114.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6758
116.4 IPS |
|
|
Machine Translation (Q)
|
85% |
9635
168.4 IPS |
