Gigabyte Technology Co., Ltd. X870 AORUS ELITE WIFI7
Geekbench AI Score
5575
Single Precision Score
1418
Half Precision Score
6827
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 04:55 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X870 AORUS ELITE WIFI7 |
| Motherboard | Gigabyte Technology Co., Ltd. X870 AORUS ELITE WIFI7 |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X 16-Core Processor |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2431
452.2 IPS |
|
|
Image Classification (HP)
|
100% |
223
41.5 IPS |
|
|
Image Classification (Q)
|
99% |
5675
1.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2004
32.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
378
6.13 IPS |
|
|
Image Segmentation (Q)
|
98% |
3810
62.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
28159
32.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
16353
19.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
75376
88.3 IPS |
|
|
Object Detection (SP)
|
100% |
2836
225.0 IPS |
|
|
Object Detection (HP)
|
100% |
313
24.8 IPS |
|
|
Object Detection (Q)
|
88% |
2966
237.8 IPS |
|
|
Face Detection (SP)
|
100% |
4229
50.3 IPS |
|
|
Face Detection (HP)
|
100% |
453
5.38 IPS |
|
|
Face Detection (Q)
|
97% |
6447
76.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
13072
100.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1557
12.0 IPS |
|
|
Depth Estimation (Q)
|
76% |
14758
118.9 IPS |
|
|
Style Transfer (SP)
|
100% |
42398
54.5 IPS |
|
|
Style Transfer (HP)
|
100% |
35089
45.1 IPS |
|
|
Style Transfer (Q)
|
98% |
42363
54.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4171
154.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3738
138.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5947
220.2 IPS |
|
|
Text Classification (SP)
|
100% |
2138
2.85 KIPS |
|
|
Text Classification (HP)
|
100% |
941
1.26 KIPS |
|
|
Text Classification (Q)
|
97% |
574
768.8 IPS |
|
|
Machine Translation (SP)
|
100% |
3569
61.5 IPS |
|
|
Machine Translation (HP)
|
100% |
879
15.1 IPS |
|
|
Machine Translation (Q)
|
60% |
3308
73.8 IPS |
