LENOVO 20FMS43J2D
Geekbench AI Score
568
Single Precision Score
564
Half Precision Score
312
Quantized Score
Geekbench AI 1.4.0 for Linux AVX2
Result Information
| User | techidiot |
| Upload Date | August 22 2025 05:25 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% |
369
68.7 IPS |
|
|
Image Classification (HP)
|
100% |
370
68.7 IPS |
|
|
Image Classification (Q)
|
99% |
195
36.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
455
7.38 IPS |
|
|
Image Segmentation (HP)
|
100% |
454
7.36 IPS |
|
|
Image Segmentation (Q)
|
98% |
232
3.77 IPS |
|
|
Pose Estimation (SP)
|
100% |
605
0.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
584
0.68 IPS |
|
|
Pose Estimation (Q)
|
96% |
459
0.54 IPS |
|
|
Object Detection (SP)
|
100% |
367
29.1 IPS |
|
|
Object Detection (HP)
|
100% |
366
29.0 IPS |
|
|
Object Detection (Q)
|
85% |
206
16.5 IPS |
|
|
Face Detection (SP)
|
100% |
775
9.21 IPS |
|
|
Face Detection (HP)
|
100% |
775
9.21 IPS |
|
|
Face Detection (Q)
|
97% |
472
5.63 IPS |
|
|
Depth Estimation (SP)
|
100% |
708
5.45 IPS |
|
|
Depth Estimation (HP)
|
99% |
630
4.85 IPS |
|
|
Depth Estimation (Q)
|
63% |
366
3.43 IPS |
|
|
Style Transfer (SP)
|
100% |
1027
1.32 IPS |
|
|
Style Transfer (HP)
|
100% |
1025
1.32 IPS |
|
|
Style Transfer (Q)
|
98% |
1040
1.34 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
382
14.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
382
14.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
278
10.3 IPS |
|
|
Text Classification (SP)
|
100% |
535
714.6 IPS |
|
|
Text Classification (HP)
|
100% |
575
767.9 IPS |
|
|
Text Classification (Q)
|
92% |
207
278.0 IPS |
|
|
Machine Translation (SP)
|
100% |
817
14.1 IPS |
|
|
Machine Translation (HP)
|
100% |
827
14.2 IPS |
|
|
Machine Translation (Q)
|
58% |
203
4.77 IPS |
