MARCELO PC - JAN26 PICHAU
Geekbench AI Score
3528
Single Precision Score
1608
Half Precision Score
5035
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | marcelo10igner |
| Upload Date | January 15 2026 11:00 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 5600X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | PICHAU |
| Motherboard | Danuri B550M-PX |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2866
532.9 IPS |
|
|
Image Classification (HP)
|
100% |
642
119.4 IPS |
|
|
Image Classification (Q)
|
96% |
4399
821.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1816
29.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
792
12.8 IPS |
|
|
Image Segmentation (Q)
|
97% |
3608
58.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4790
5.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
4001
4.67 IPS |
|
|
Pose Estimation (Q)
|
86% |
10046
11.9 IPS |
|
|
Object Detection (SP)
|
100% |
2594
205.7 IPS |
|
|
Object Detection (HP)
|
100% |
773
61.3 IPS |
|
|
Object Detection (Q)
|
58% |
3119
340.8 IPS |
|
|
Face Detection (SP)
|
100% |
5040
59.9 IPS |
|
|
Face Detection (HP)
|
100% |
1656
19.7 IPS |
|
|
Face Detection (Q)
|
96% |
7863
93.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6576
50.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2188
16.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
9253
73.8 IPS |
|
|
Style Transfer (SP)
|
100% |
12045
15.5 IPS |
|
|
Style Transfer (HP)
|
100% |
10268
13.2 IPS |
|
|
Style Transfer (Q)
|
87% |
13323
17.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2392
88.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2108
77.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3870
143.4 IPS |
|
|
Text Classification (SP)
|
100% |
1882
2.51 KIPS |
|
|
Text Classification (HP)
|
100% |
951
1.27 KIPS |
|
|
Text Classification (Q)
|
97% |
1541
2.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
2573
44.3 IPS |
|
|
Machine Translation (HP)
|
100% |
988
17.0 IPS |
|
|
Machine Translation (Q)
|
68% |
3643
70.4 IPS |
