Gigabyte Technology Co., Ltd. B450 AORUS ELITE V2
Geekbench AI Score
3009
Single Precision Score
1416
Half Precision Score
4704
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 06 2025 09:04 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 5600G |
| System Information | |
|---|---|
| Operating System | Windows 11 Home (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B450 AORUS ELITE V2 |
| Motherboard | Gigabyte Technology Co., Ltd. B450 AORUS ELITE V2 |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2293
426.5 IPS |
|
|
Image Classification (HP)
|
100% |
553
102.9 IPS |
|
|
Image Classification (Q)
|
96% |
4170
778.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1452
23.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
759
12.3 IPS |
|
|
Image Segmentation (Q)
|
97% |
4748
77.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4794
5.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
3839
4.48 IPS |
|
|
Pose Estimation (Q)
|
86% |
9803
11.6 IPS |
|
|
Object Detection (SP)
|
100% |
2305
182.9 IPS |
|
|
Object Detection (HP)
|
100% |
702
55.7 IPS |
|
|
Object Detection (Q)
|
58% |
2743
299.8 IPS |
|
|
Face Detection (SP)
|
100% |
3597
42.7 IPS |
|
|
Face Detection (HP)
|
100% |
1369
16.3 IPS |
|
|
Face Detection (Q)
|
96% |
7050
84.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6214
47.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2038
15.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
8678
69.2 IPS |
|
|
Style Transfer (SP)
|
100% |
11309
14.5 IPS |
|
|
Style Transfer (HP)
|
100% |
8886
11.4 IPS |
|
|
Style Transfer (Q)
|
87% |
13533
17.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1981
73.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1781
65.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3657
135.5 IPS |
|
|
Text Classification (SP)
|
100% |
1679
2.24 KIPS |
|
|
Text Classification (HP)
|
100% |
865
1.15 KIPS |
|
|
Text Classification (Q)
|
97% |
1395
1.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
1968
33.9 IPS |
|
|
Machine Translation (HP)
|
100% |
755
13.0 IPS |
|
|
Machine Translation (Q)
|
68% |
2362
45.6 IPS |
