Gigabyte Technology Co., Ltd. X670E AORUS MASTER
Geekbench AI Score
6020
Single Precision Score
6047
Half Precision Score
16858
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | mieciop |
| Upload Date | December 26 2024 02:44 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 8700G w/ Radeon 780M Graphics |
| 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 | Wysoka wydajno |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8700G |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 4.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4082
759.1 IPS |
|
|
Image Classification (HP)
|
100% |
4050
753.3 IPS |
|
|
Image Classification (Q)
|
100% |
10590
1.97 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3858
62.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3935
63.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
10201
165.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7918
9.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
7896
9.21 IPS |
|
|
Pose Estimation (Q)
|
98% |
32450
38.0 IPS |
|
|
Object Detection (SP)
|
100% |
3562
282.5 IPS |
|
|
Object Detection (HP)
|
100% |
3552
281.8 IPS |
|
|
Object Detection (Q)
|
88% |
11312
906.8 IPS |
|
|
Face Detection (SP)
|
100% |
6450
76.6 IPS |
|
|
Face Detection (HP)
|
100% |
6415
76.2 IPS |
|
|
Face Detection (Q)
|
100% |
26954
320.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
10278
79.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
10252
79.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
27437
213.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21814
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
21759
28.0 IPS |
|
|
Style Transfer (Q)
|
98% |
85614
110.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4713
174.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4753
175.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16736
619.8 IPS |
|
|
Text Classification (SP)
|
100% |
4085
5.45 KIPS |
|
|
Text Classification (HP)
|
100% |
4139
5.52 KIPS |
|
|
Text Classification (Q)
|
92% |
6164
8.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
5063
87.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5197
89.5 IPS |
|
|
Machine Translation (Q)
|
100% |
7158
123.3 IPS |
