B550 Extreme4
Geekbench AI Score
3360
Single Precision Score
1368
Half Precision Score
5196
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | wvbigdave |
| Upload Date | January 21 2025 05:21 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 5900X |
| 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% |
2466
458.6 IPS |
|
|
Image Classification (HP)
|
100% |
493
91.6 IPS |
|
|
Image Classification (Q)
|
96% |
4875
910.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1724
27.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
712
11.5 IPS |
|
|
Image Segmentation (Q)
|
97% |
2735
44.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6499
7.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
5081
5.93 IPS |
|
|
Pose Estimation (Q)
|
86% |
15419
18.2 IPS |
|
|
Object Detection (SP)
|
100% |
2388
189.4 IPS |
|
|
Object Detection (HP)
|
100% |
612
48.6 IPS |
|
|
Object Detection (Q)
|
58% |
3845
420.2 IPS |
|
|
Face Detection (SP)
|
100% |
5349
63.6 IPS |
|
|
Face Detection (HP)
|
100% |
1340
15.9 IPS |
|
|
Face Detection (Q)
|
96% |
8711
103.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7369
56.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2075
16.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
11554
92.2 IPS |
|
|
Style Transfer (SP)
|
100% |
15150
19.5 IPS |
|
|
Style Transfer (HP)
|
100% |
12238
15.7 IPS |
|
|
Style Transfer (Q)
|
87% |
19402
25.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1952
72.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1720
63.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2802
103.8 IPS |
|
|
Text Classification (SP)
|
100% |
1234
1.65 KIPS |
|
|
Text Classification (HP)
|
100% |
574
766.0 IPS |
|
|
Text Classification (Q)
|
97% |
1286
1.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
1937
33.4 IPS |
|
|
Machine Translation (HP)
|
100% |
626
10.8 IPS |
|
|
Machine Translation (Q)
|
68% |
2579
49.8 IPS |
