Gigabyte Technology Co., Ltd. B650M AORUS ELITE AX ICE
Geekbench AI Score
13022
Single Precision Score
13085
Half Precision Score
29779
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | January 02 2025 01:38 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 IoT Enterprise LTSC (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B650M AORUS ELITE AX ICE |
| Motherboard | Gigabyte Technology Co., Ltd. B650M AORUS ELITE AX ICE |
| Power Plan | Balanced |
| 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% |
6222
1.16 KIPS |
|
|
Image Classification (HP)
|
100% |
6708
1.25 KIPS |
|
|
Image Classification (Q)
|
100% |
14383
2.67 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8469
137.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
7763
125.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
17155
278.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
27768
32.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
28132
32.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
113707
133.1 IPS |
|
|
Object Detection (SP)
|
100% |
7741
614.0 IPS |
|
|
Object Detection (HP)
|
100% |
7756
615.2 IPS |
|
|
Object Detection (Q)
|
88% |
17300
1.39 KIPS |
|
|
Face Detection (SP)
|
100% |
17147
203.7 IPS |
|
|
Face Detection (HP)
|
100% |
18741
222.7 IPS |
|
|
Face Detection (Q)
|
100% |
45785
544.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
23063
177.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
21926
168.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
59202
460.6 IPS |
|
|
Style Transfer (SP)
|
100% |
72813
93.6 IPS |
|
|
Style Transfer (HP)
|
100% |
73568
94.6 IPS |
|
|
Style Transfer (Q)
|
98% |
257619
332.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13336
492.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13267
489.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
36752
1.36 KIPS |
|
|
Text Classification (SP)
|
100% |
4891
6.53 KIPS |
|
|
Text Classification (HP)
|
100% |
4760
6.35 KIPS |
|
|
Text Classification (Q)
|
92% |
6415
8.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
6591
113.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6786
116.9 IPS |
|
|
Machine Translation (Q)
|
100% |
6864
118.2 IPS |
