Gigabyte Technology Co., Ltd. B550 AORUS ELITE V2
Geekbench AI Score
6265
Single Precision Score
6259
Half Precision Score
8736
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | JuanjoEsVal |
| Upload Date | January 07 2025 11:01 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 5700X 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B550 AORUS ELITE V2 |
| Motherboard | Gigabyte Technology Co., Ltd. B550 AORUS ELITE V2 |
| Power Plan | Alto rendimiento |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4196
780.3 IPS |
|
|
Image Classification (HP)
|
100% |
4133
768.5 IPS |
|
|
Image Classification (Q)
|
100% |
5868
1.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4500
72.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4472
72.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
6539
106.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7680
8.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
7755
9.05 IPS |
|
|
Pose Estimation (Q)
|
94% |
15783
18.5 IPS |
|
|
Object Detection (SP)
|
100% |
3816
302.7 IPS |
|
|
Object Detection (HP)
|
100% |
3833
304.0 IPS |
|
|
Object Detection (Q)
|
87% |
5724
459.1 IPS |
|
|
Face Detection (SP)
|
100% |
9004
107.0 IPS |
|
|
Face Detection (HP)
|
100% |
8872
105.4 IPS |
|
|
Face Detection (Q)
|
97% |
17119
204.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9555
73.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
9668
74.5 IPS |
|
|
Depth Estimation (Q)
|
81% |
16939
133.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22427
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
22370
28.8 IPS |
|
|
Style Transfer (Q)
|
98% |
42908
55.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4717
174.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4754
175.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
9009
333.7 IPS |
|
|
Text Classification (SP)
|
100% |
3669
4.90 KIPS |
|
|
Text Classification (HP)
|
100% |
3671
4.90 KIPS |
|
|
Text Classification (Q)
|
91% |
1362
1.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
5044
86.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5022
86.5 IPS |
|
|
Machine Translation (Q)
|
100% |
4896
84.3 IPS |
