B550 Extreme4
Geekbench AI Score
23883
Single Precision Score
34920
Half Precision Score
14558
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | wvbigdave |
| Upload Date | January 21 2025 05:27 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3080 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | B550 Extreme4 |
| Motherboard | ASRock B550 Extreme4 |
| Power Plan | ChrisTitus - Ultimate Power Plan |
| 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% |
9121
1.70 KIPS |
|
|
Image Classification (HP)
|
99% |
12571
2.34 KIPS |
|
|
Image Classification (Q)
|
100% |
6169
1.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15572
252.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
21087
341.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
11294
183.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
180644
210.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
347357
405.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
132377
155.1 IPS |
|
|
Object Detection (SP)
|
100% |
12023
953.7 IPS |
|
|
Object Detection (HP)
|
100% |
16615
1.32 KIPS |
|
|
Object Detection (Q)
|
85% |
8044
647.1 IPS |
|
|
Face Detection (SP)
|
100% |
32368
384.6 IPS |
|
|
Face Detection (HP)
|
100% |
44537
529.2 IPS |
|
|
Face Detection (Q)
|
97% |
21256
253.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
57418
442.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
100930
777.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
34781
278.5 IPS |
|
|
Style Transfer (SP)
|
100% |
269000
345.8 IPS |
|
|
Style Transfer (HP)
|
100% |
607482
780.9 IPS |
|
|
Style Transfer (Q)
|
98% |
190088
245.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
36430
1.35 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
48830
1.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20636
764.1 IPS |
|
|
Text Classification (SP)
|
100% |
2628
3.51 KIPS |
|
|
Text Classification (HP)
|
99% |
3274
4.37 KIPS |
|
|
Text Classification (Q)
|
97% |
1355
1.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
4091
70.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4037
69.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1467
27.5 IPS |
