Gigabyte Technology Co., Ltd. X670E AORUS MASTER
Geekbench AI Score
2953
Single Precision Score
1417
Half Precision Score
6250
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | mieciop |
| Upload Date | December 26 2024 02:40 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 8700G |
| 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% |
2574
478.6 IPS |
|
|
Image Classification (HP)
|
100% |
523
97.3 IPS |
|
|
Image Classification (Q)
|
99% |
7537
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
898
14.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
732
11.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3387
55.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4545
5.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
3954
4.61 IPS |
|
|
Pose Estimation (Q)
|
94% |
20332
23.8 IPS |
|
|
Object Detection (SP)
|
100% |
2608
206.9 IPS |
|
|
Object Detection (HP)
|
100% |
661
52.5 IPS |
|
|
Object Detection (Q)
|
86% |
7170
576.2 IPS |
|
|
Face Detection (SP)
|
100% |
4312
51.2 IPS |
|
|
Face Detection (HP)
|
100% |
1459
17.3 IPS |
|
|
Face Detection (Q)
|
97% |
9857
117.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6500
50.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2249
17.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
7116
56.8 IPS |
|
|
Style Transfer (SP)
|
100% |
10784
13.9 IPS |
|
|
Style Transfer (HP)
|
100% |
10181
13.1 IPS |
|
|
Style Transfer (Q)
|
98% |
20805
26.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1966
72.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1857
68.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3276
121.3 IPS |
|
|
Text Classification (SP)
|
100% |
1590
2.12 KIPS |
|
|
Text Classification (HP)
|
100% |
744
992.5 IPS |
|
|
Text Classification (Q)
|
97% |
1799
2.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
1948
33.6 IPS |
|
|
Machine Translation (HP)
|
100% |
711
12.3 IPS |
|
|
Machine Translation (Q)
|
65% |
2842
57.1 IPS |
