Gigabyte Technology Co., Ltd. B550 AORUS ELITE
Geekbench AI Score
4594
Single Precision Score
1613
Half Precision Score
6347
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 22 2024 11:17 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B550 AORUS ELITE |
| Motherboard | Gigabyte Technology Co., Ltd. B550 AORUS ELITE |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3387
629.9 IPS |
|
|
Image Classification (HP)
|
100% |
534
99.3 IPS |
|
|
Image Classification (Q)
|
96% |
6459
1.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2171
35.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
773
12.5 IPS |
|
|
Image Segmentation (Q)
|
97% |
3314
53.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10923
12.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
7269
8.48 IPS |
|
|
Pose Estimation (Q)
|
86% |
21312
25.2 IPS |
|
|
Object Detection (SP)
|
100% |
3579
283.9 IPS |
|
|
Object Detection (HP)
|
100% |
679
53.8 IPS |
|
|
Object Detection (Q)
|
58% |
4925
538.1 IPS |
|
|
Face Detection (SP)
|
100% |
7093
84.3 IPS |
|
|
Face Detection (HP)
|
100% |
1532
18.2 IPS |
|
|
Face Detection (Q)
|
96% |
10354
123.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
11664
89.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2436
18.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
15924
127.1 IPS |
|
|
Style Transfer (SP)
|
100% |
24632
31.7 IPS |
|
|
Style Transfer (HP)
|
100% |
18795
24.2 IPS |
|
|
Style Transfer (Q)
|
87% |
22651
29.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2511
92.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1947
71.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3189
118.2 IPS |
|
|
Text Classification (SP)
|
100% |
1306
1.74 KIPS |
|
|
Text Classification (HP)
|
100% |
614
819.1 IPS |
|
|
Text Classification (Q)
|
97% |
1318
1.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
2184
37.6 IPS |
|
|
Machine Translation (HP)
|
100% |
701
12.1 IPS |
|
|
Machine Translation (Q)
|
68% |
3012
58.2 IPS |
