Gigabyte Technology Co., Ltd. B550 AORUS ELITE
Geekbench AI Score
15330
Single Precision Score
17905
Half Precision Score
11931
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 22 2024 11:19 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 6600 |
| 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% |
6731
1.25 KIPS |
|
|
Image Classification (HP)
|
100% |
6424
1.19 KIPS |
|
|
Image Classification (Q)
|
100% |
6157
1.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10137
164.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
7978
129.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
8549
139.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
73590
85.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
125113
146.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
62616
73.4 IPS |
|
|
Object Detection (SP)
|
100% |
5819
461.6 IPS |
|
|
Object Detection (HP)
|
100% |
7616
604.1 IPS |
|
|
Object Detection (Q)
|
87% |
5061
406.5 IPS |
|
|
Face Detection (SP)
|
100% |
19058
226.5 IPS |
|
|
Face Detection (HP)
|
100% |
23442
278.5 IPS |
|
|
Face Detection (Q)
|
97% |
15529
185.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
36847
283.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
46105
355.2 IPS |
|
|
Depth Estimation (Q)
|
76% |
29125
233.9 IPS |
|
|
Style Transfer (SP)
|
100% |
150806
193.9 IPS |
|
|
Style Transfer (HP)
|
100% |
203141
261.1 IPS |
|
|
Style Transfer (Q)
|
98% |
122892
158.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26330
972.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31877
1.18 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
18812
696.6 IPS |
|
|
Text Classification (SP)
|
100% |
2447
3.27 KIPS |
|
|
Text Classification (HP)
|
100% |
2575
3.44 KIPS |
|
|
Text Classification (Q)
|
97% |
1616
2.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
3596
61.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3848
66.3 IPS |
|
|
Machine Translation (Q)
|
70% |
2075
38.9 IPS |
