Gigabyte Technology Co., Ltd. B550 AORUS ELITE V2
Geekbench AI Score
15572
Single Precision Score
25391
Half Precision Score
10567
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 11 2025 01:30 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2080 |
| 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 | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6522
1.21 KIPS |
|
|
Image Classification (HP)
|
100% |
10001
1.86 KIPS |
|
|
Image Classification (Q)
|
99% |
4834
901.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
11168
181.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
16098
261.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
8222
133.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
80897
94.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
231632
270.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
66838
78.3 IPS |
|
|
Object Detection (SP)
|
100% |
7962
631.6 IPS |
|
|
Object Detection (HP)
|
100% |
12473
989.4 IPS |
|
|
Object Detection (Q)
|
84% |
6129
494.3 IPS |
|
|
Face Detection (SP)
|
100% |
19023
226.0 IPS |
|
|
Face Detection (HP)
|
100% |
30783
365.8 IPS |
|
|
Face Detection (Q)
|
97% |
14874
177.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
38664
297.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
69000
531.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
26325
210.9 IPS |
|
|
Style Transfer (SP)
|
100% |
149494
192.2 IPS |
|
|
Style Transfer (HP)
|
100% |
332539
427.5 IPS |
|
|
Style Transfer (Q)
|
98% |
116463
150.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
25013
923.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
35519
1.31 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
14697
544.2 IPS |
|
|
Text Classification (SP)
|
100% |
1811
2.42 KIPS |
|
|
Text Classification (HP)
|
99% |
2544
3.40 KIPS |
|
|
Text Classification (Q)
|
97% |
1104
1.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
3588
61.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3752
64.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1442
27.0 IPS |
