Gigabyte Technology Co., Ltd. B550 AORUS ELITE V2
Geekbench AI Score
18980
Single Precision Score
31507
Half Precision Score
15263
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 16 2025 07:58 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B550 AORUS ELITE V2 |
| Motherboard | Gigabyte Technology Co., Ltd. B550 AORUS ELITE V2 |
| Power Plan | Power saver |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600G |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7834
1.46 KIPS |
|
|
Image Classification (HP)
|
100% |
12140
2.26 KIPS |
|
|
Image Classification (Q)
|
100% |
7276
1.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11883
192.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
15518
251.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
11141
181.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
118268
138.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
343125
400.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
110925
129.9 IPS |
|
|
Object Detection (SP)
|
100% |
9557
758.1 IPS |
|
|
Object Detection (HP)
|
100% |
14886
1.18 KIPS |
|
|
Object Detection (Q)
|
83% |
8379
677.0 IPS |
|
|
Face Detection (SP)
|
100% |
23252
276.3 IPS |
|
|
Face Detection (HP)
|
100% |
33049
392.7 IPS |
|
|
Face Detection (Q)
|
97% |
20639
246.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
51032
393.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
96522
743.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
41290
329.6 IPS |
|
|
Style Transfer (SP)
|
100% |
164150
211.0 IPS |
|
|
Style Transfer (HP)
|
100% |
500897
643.9 IPS |
|
|
Style Transfer (Q)
|
98% |
144539
186.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30117
1.11 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
51606
1.91 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
23172
858.0 IPS |
|
|
Text Classification (SP)
|
100% |
2809
3.75 KIPS |
|
|
Text Classification (HP)
|
100% |
3292
4.39 KIPS |
|
|
Text Classification (Q)
|
97% |
1938
2.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
3500
60.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3691
63.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1647
30.9 IPS |
