Gigabyte Technology Co., Ltd. B550 AORUS ELITE
Geekbench AI Score
19660
Single Precision Score
30803
Half Precision Score
12484
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | December 21 2024 09:45 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3070 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B550 AORUS ELITE |
| Motherboard | Gigabyte Technology Co., Ltd. B550 AORUS ELITE |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7580
1.41 KIPS |
|
|
Image Classification (HP)
|
99% |
11620
2.17 KIPS |
|
|
Image Classification (Q)
|
100% |
5224
971.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
13090
212.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
17916
290.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
10297
167.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
117029
136.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
309615
361.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
95551
111.9 IPS |
|
|
Object Detection (SP)
|
100% |
9797
777.1 IPS |
|
|
Object Detection (HP)
|
100% |
15140
1.20 KIPS |
|
|
Object Detection (Q)
|
88% |
7045
565.0 IPS |
|
|
Face Detection (SP)
|
100% |
22631
268.9 IPS |
|
|
Face Detection (HP)
|
100% |
33205
394.5 IPS |
|
|
Face Detection (Q)
|
97% |
16424
195.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
47466
365.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
87141
671.4 IPS |
|
|
Depth Estimation (Q)
|
69% |
29343
248.6 IPS |
|
|
Style Transfer (SP)
|
100% |
189865
244.1 IPS |
|
|
Style Transfer (HP)
|
100% |
464234
596.8 IPS |
|
|
Style Transfer (Q)
|
98% |
148156
191.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
34592
1.28 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
44131
1.63 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
19703
729.6 IPS |
|
|
Text Classification (SP)
|
100% |
2885
3.85 KIPS |
|
|
Text Classification (HP)
|
99% |
3637
4.85 KIPS |
|
|
Text Classification (Q)
|
97% |
1428
1.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
3727
64.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3656
63.0 IPS |
|
|
Machine Translation (Q)
|
60% |
1264
28.2 IPS |
