Intel Core i5-11400 To Be Filled By O.E.M. To Be Filled By O.E.M.
Geekbench AI Score
1868
Single Precision Score
1872
Half Precision Score
1069
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | acn |
| Upload Date | June 17 2025 09:18 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i5-11400 |
| System Information | |
|---|---|
| Operating System | Linux Mint 22.1 |
| Model | To Be Filled By O.E.M. To Be Filled By O.E.M. |
| Motherboard | ASRock B560 Pro4 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-11400 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 167 Stepping 1 |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 30.95 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1422
264.5 IPS |
|
|
Image Classification (HP)
|
100% |
1417
263.6 IPS |
|
|
Image Classification (Q)
|
99% |
637
118.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1629
26.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1634
26.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
739
12.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2220
2.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
2210
2.58 IPS |
|
|
Pose Estimation (Q)
|
96% |
1930
2.26 IPS |
|
|
Object Detection (SP)
|
100% |
1504
119.3 IPS |
|
|
Object Detection (HP)
|
100% |
1511
119.8 IPS |
|
|
Object Detection (Q)
|
85% |
678
54.6 IPS |
|
|
Face Detection (SP)
|
100% |
2241
26.6 IPS |
|
|
Face Detection (HP)
|
100% |
2252
26.8 IPS |
|
|
Face Detection (Q)
|
97% |
1721
20.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2139
16.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2144
16.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
1424
13.4 IPS |
|
|
Style Transfer (SP)
|
100% |
2576
3.31 IPS |
|
|
Style Transfer (HP)
|
100% |
2606
3.35 IPS |
|
|
Style Transfer (Q)
|
98% |
4073
5.25 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1510
55.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1508
55.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1030
38.2 IPS |
|
|
Text Classification (SP)
|
100% |
1703
2.27 KIPS |
|
|
Text Classification (HP)
|
100% |
1706
2.28 KIPS |
|
|
Text Classification (Q)
|
92% |
575
772.5 IPS |
|
|
Machine Translation (SP)
|
100% |
2111
36.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2119
36.5 IPS |
|
|
Machine Translation (Q)
|
58% |
536
12.6 IPS |
