ASUS Rampage III Extreme System manufacturer System Product Name
Geekbench AI Score
584
Single Precision Score
244
Half Precision Score
610
Quantized Score
Geekbench AI 1.3.0 for Linux x86 (64-bit)
Result Information
| User | enroscado |
| Upload Date | April 29 2025 10:02 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon X5650 |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.2 LTS |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK Computer INC. Rampage III Extreme |
| CPU Information | |
|---|---|
| Name | Intel Xeon X5650 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 44 Stepping 2 |
| Base Frequency | 2.67 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 23.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
340
63.2 IPS |
|
|
Image Classification (HP)
|
100% |
72
13.3 IPS |
|
|
Image Classification (Q)
|
97% |
349
65.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
332
5.37 IPS |
|
|
Image Segmentation (HP)
|
100% |
102
1.65 IPS |
|
|
Image Segmentation (Q)
|
99% |
451
7.33 IPS |
|
|
Pose Estimation (SP)
|
100% |
794
0.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
720
0.84 IPS |
|
|
Pose Estimation (Q)
|
94% |
932
1.09 IPS |
|
|
Object Detection (SP)
|
100% |
343
27.2 IPS |
|
|
Object Detection (HP)
|
100% |
91
7.24 IPS |
|
|
Object Detection (Q)
|
86% |
356
28.6 IPS |
|
|
Face Detection (SP)
|
100% |
746
8.86 IPS |
|
|
Face Detection (HP)
|
100% |
151
1.79 IPS |
|
|
Face Detection (Q)
|
97% |
1226
14.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
988
7.61 IPS |
|
|
Depth Estimation (HP)
|
99% |
352
2.71 IPS |
|
|
Depth Estimation (Q)
|
78% |
936
7.45 IPS |
|
|
Style Transfer (SP)
|
100% |
2039
2.62 IPS |
|
|
Style Transfer (HP)
|
100% |
2021
2.60 IPS |
|
|
Style Transfer (Q)
|
98% |
2091
2.70 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
429
15.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
400
14.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
461
17.1 IPS |
|
|
Text Classification (SP)
|
100% |
409
545.8 IPS |
|
|
Text Classification (HP)
|
100% |
191
254.3 IPS |
|
|
Text Classification (Q)
|
97% |
384
514.5 IPS |
|
|
Machine Translation (SP)
|
100% |
573
9.87 IPS |
|
|
Machine Translation (HP)
|
100% |
196
3.38 IPS |
|
|
Machine Translation (Q)
|
65% |
325
6.52 IPS |
