Gigabyte Technology Co., Ltd. B450 AORUS ELITE
Geekbench AI Score
5431
Single Precision Score
5420
Half Precision Score
7986
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | StripeyMiata |
| Upload Date | February 05 2025 10:30 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 5800X 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B450 AORUS ELITE |
| Motherboard | Gigabyte Technology Co., Ltd. B450 AORUS ELITE |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3777
702.3 IPS |
|
|
Image Classification (HP)
|
100% |
3726
692.8 IPS |
|
|
Image Classification (Q)
|
100% |
5528
1.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4004
64.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4020
65.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
5745
93.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6937
8.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
6899
8.05 IPS |
|
|
Pose Estimation (Q)
|
94% |
14386
16.9 IPS |
|
|
Object Detection (SP)
|
100% |
3236
256.7 IPS |
|
|
Object Detection (HP)
|
100% |
3199
253.7 IPS |
|
|
Object Detection (Q)
|
87% |
5410
433.9 IPS |
|
|
Face Detection (SP)
|
100% |
6868
81.6 IPS |
|
|
Face Detection (HP)
|
100% |
6836
81.2 IPS |
|
|
Face Detection (Q)
|
97% |
15563
185.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8392
64.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
8361
64.4 IPS |
|
|
Depth Estimation (Q)
|
81% |
14939
117.9 IPS |
|
|
Style Transfer (SP)
|
100% |
19414
25.0 IPS |
|
|
Style Transfer (HP)
|
100% |
19566
25.2 IPS |
|
|
Style Transfer (Q)
|
98% |
41221
53.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4111
151.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4062
150.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
8085
299.5 IPS |
|
|
Text Classification (SP)
|
100% |
3329
4.44 KIPS |
|
|
Text Classification (HP)
|
100% |
3337
4.45 KIPS |
|
|
Text Classification (Q)
|
91% |
1310
1.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
4296
74.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4371
75.3 IPS |
|
|
Machine Translation (Q)
|
100% |
4209
72.5 IPS |
