Gigabyte Technology Co., Ltd. X870 AORUS ELITE WIFI7 ICE
Geekbench AI Score
7723
Single Precision Score
2783
Half Precision Score
12543
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | June 21 2025 06:10 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 ICE |
| Motherboard | Gigabyte Technology Co., Ltd. X870 AORUS ELITE WIFI7 ICE |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X |
| 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5051
939.4 IPS |
|
|
Image Classification (HP)
|
100% |
853
158.7 IPS |
|
|
Image Classification (Q)
|
99% |
11202
2.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2784
45.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1374
22.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
5252
85.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
27350
31.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
16070
18.8 IPS |
|
|
Pose Estimation (Q)
|
94% |
75250
88.3 IPS |
|
|
Object Detection (SP)
|
100% |
5449
432.2 IPS |
|
|
Object Detection (HP)
|
100% |
1092
86.7 IPS |
|
|
Object Detection (Q)
|
86% |
13938
1.12 KIPS |
|
|
Face Detection (SP)
|
100% |
10189
121.1 IPS |
|
|
Face Detection (HP)
|
100% |
2546
30.3 IPS |
|
|
Face Detection (Q)
|
97% |
14630
174.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
17827
137.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
4014
30.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
29999
239.4 IPS |
|
|
Style Transfer (SP)
|
100% |
46312
59.5 IPS |
|
|
Style Transfer (HP)
|
100% |
36030
46.3 IPS |
|
|
Style Transfer (Q)
|
98% |
48892
63.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4651
171.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3645
134.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6463
239.3 IPS |
|
|
Text Classification (SP)
|
100% |
2339
3.12 KIPS |
|
|
Text Classification (HP)
|
100% |
963
1.29 KIPS |
|
|
Text Classification (Q)
|
97% |
2079
2.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
3941
67.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1050
18.1 IPS |
|
|
Machine Translation (Q)
|
65% |
5421
108.9 IPS |
