Gigabyte Technology Co., Ltd. X670 AORUS ELITE AX
Geekbench AI Score
7526
Single Precision Score
7557
Half Precision Score
20054
Quantized Score
Geekbench AI 1.0.0 Corporate for Windows AVX2
Result Information
| Upload Date | August 15 2024 03:50 AM |
| Views | 22 |
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% |
5288
983.5 IPS |
|
|
Image Classification (HP)
|
100% |
5280
982.0 IPS |
|
|
Image Classification (Q)
|
100% |
12515
2.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4442
72.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4448
72.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
11029
178.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9211
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
9217
10.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
37015
43.3 IPS |
|
|
Object Detection (SP)
|
100% |
4676
370.9 IPS |
|
|
Object Detection (HP)
|
100% |
4731
375.3 IPS |
|
|
Object Detection (Q)
|
88% |
13236
1.06 KIPS |
|
|
Face Detection (SP)
|
100% |
10287
122.2 IPS |
|
|
Face Detection (HP)
|
100% |
10345
122.9 IPS |
|
|
Face Detection (Q)
|
100% |
34295
407.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
11587
89.3 IPS |
|
|
Depth Estimation (HP)
|
100% |
11597
89.3 IPS |
|
|
Depth Estimation (Q)
|
80% |
37351
296.0 IPS |
|
|
Style Transfer (SP)
|
100% |
25970
33.4 IPS |
|
|
Style Transfer (HP)
|
100% |
25934
33.3 IPS |
|
|
Style Transfer (Q)
|
98% |
97659
125.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5971
220.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5980
220.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19391
718.1 IPS |
|
|
Text Classification (SP)
|
100% |
4596
6.14 KIPS |
|
|
Text Classification (HP)
|
100% |
4664
6.22 KIPS |
|
|
Text Classification (Q)
|
92% |
6691
8.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
6786
116.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6843
117.9 IPS |
|
|
Machine Translation (Q)
|
85% |
9586
167.6 IPS |
