LENOVO 20FMS43J2D
Geekbench AI Score
555
Single Precision Score
555
Half Precision Score
316
Quantized Score
Geekbench AI 1.4.0 for Linux AVX2
Result Information
| User | techidiot |
| Upload Date | August 22 2025 05:39 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i5-6300U |
| System Information | |
|---|---|
| Operating System | Linux Mint 22 |
| Model | LENOVO 20FMS43J2D |
| Motherboard | LENOVO 20FMS43J2D |
| CPU Information | |
|---|---|
| Name | Intel Core i5-6300U |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 78 Stepping 3 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 15.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
347
64.4 IPS |
|
|
Image Classification (HP)
|
100% |
350
65.0 IPS |
|
|
Image Classification (Q)
|
99% |
196
36.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
437
7.09 IPS |
|
|
Image Segmentation (HP)
|
100% |
454
7.36 IPS |
|
|
Image Segmentation (Q)
|
98% |
232
3.77 IPS |
|
|
Pose Estimation (SP)
|
100% |
593
0.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
588
0.69 IPS |
|
|
Pose Estimation (Q)
|
96% |
459
0.54 IPS |
|
|
Object Detection (SP)
|
100% |
327
25.9 IPS |
|
|
Object Detection (HP)
|
100% |
313
24.8 IPS |
|
|
Object Detection (Q)
|
85% |
204
16.4 IPS |
|
|
Face Detection (SP)
|
100% |
752
8.93 IPS |
|
|
Face Detection (HP)
|
100% |
758
9.00 IPS |
|
|
Face Detection (Q)
|
97% |
467
5.57 IPS |
|
|
Depth Estimation (SP)
|
100% |
697
5.37 IPS |
|
|
Depth Estimation (HP)
|
99% |
698
5.37 IPS |
|
|
Depth Estimation (Q)
|
63% |
420
3.94 IPS |
|
|
Style Transfer (SP)
|
100% |
1019
1.31 IPS |
|
|
Style Transfer (HP)
|
100% |
1018
1.31 IPS |
|
|
Style Transfer (Q)
|
98% |
1035
1.33 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
379
14.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
377
13.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
277
10.3 IPS |
|
|
Text Classification (SP)
|
100% |
576
768.5 IPS |
|
|
Text Classification (HP)
|
100% |
580
774.1 IPS |
|
|
Text Classification (Q)
|
92% |
209
280.9 IPS |
|
|
Machine Translation (SP)
|
100% |
818
14.1 IPS |
|
|
Machine Translation (HP)
|
100% |
819
14.1 IPS |
|
|
Machine Translation (Q)
|
58% |
202
4.74 IPS |
