ASUS All Series
Geekbench AI Score
2145
Single Precision Score
577
Half Precision Score
2432
Quantized Score
Geekbench AI 1.3.0 for Linux x86 (64-bit)
Result Information
| User | ls0775 |
| Upload Date | March 22 2025 08:33 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-6800K |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.2 LTS |
| Model | ASUS All Series |
| Motherboard | ASUSTeK COMPUTER INC. X99-A II |
| CPU Information | |
|---|---|
| Name | Intel Core i7-6800K |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 79 Stepping 1 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 31.25 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1330
247.4 IPS |
|
|
Image Classification (HP)
|
100% |
145
27.0 IPS |
|
|
Image Classification (Q)
|
93% |
2084
389.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1097
17.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
211
3.42 IPS |
|
|
Image Segmentation (Q)
|
98% |
1279
20.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4324
5.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
1960
2.29 IPS |
|
|
Pose Estimation (Q)
|
86% |
4550
5.38 IPS |
|
|
Object Detection (SP)
|
100% |
1477
117.1 IPS |
|
|
Object Detection (HP)
|
100% |
192
15.2 IPS |
|
|
Object Detection (Q)
|
58% |
1413
154.4 IPS |
|
|
Face Detection (SP)
|
100% |
2012
23.9 IPS |
|
|
Face Detection (HP)
|
100% |
261
3.10 IPS |
|
|
Face Detection (Q)
|
96% |
4894
58.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4351
33.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
805
6.20 IPS |
|
|
Depth Estimation (Q)
|
78% |
4549
36.2 IPS |
|
|
Style Transfer (SP)
|
100% |
7193
9.25 IPS |
|
|
Style Transfer (HP)
|
100% |
7062
9.08 IPS |
|
|
Style Transfer (Q)
|
87% |
7985
10.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1747
64.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1450
53.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1606
59.5 IPS |
|
|
Text Classification (SP)
|
100% |
1357
1.81 KIPS |
|
|
Text Classification (HP)
|
100% |
444
592.8 IPS |
|
|
Text Classification (Q)
|
97% |
1002
1.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
1483
25.5 IPS |
|
|
Machine Translation (HP)
|
100% |
376
6.48 IPS |
|
|
Machine Translation (Q)
|
68% |
1482
28.6 IPS |
