LENOVO 20BFS2K300
Geekbench AI Score
566
Single Precision Score
570
Half Precision Score
362
Quantized Score
Geekbench AI 1.6.0 for Linux AVX2
Result Information
| User | timclarke76 |
| Upload Date | January 22 2026 04:24 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i7-4600M |
| System Information | |
|---|---|
| Operating System | Arch Linux |
| Model | LENOVO 20BFS2K300 |
| Motherboard | LENOVO 20BFS2K300 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-4600M |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 15.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
360
67.0 IPS |
|
|
Image Classification (HP)
|
100% |
366
68.2 IPS |
|
|
Image Classification (Q)
|
99% |
229
42.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
459
7.45 IPS |
|
|
Image Segmentation (HP)
|
100% |
463
7.50 IPS |
|
|
Image Segmentation (Q)
|
98% |
266
4.33 IPS |
|
|
Pose Estimation (SP)
|
100% |
654
0.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
652
0.76 IPS |
|
|
Pose Estimation (Q)
|
96% |
527
0.62 IPS |
|
|
Object Detection (SP)
|
100% |
372
29.5 IPS |
|
|
Object Detection (HP)
|
100% |
375
29.7 IPS |
|
|
Object Detection (Q)
|
85% |
241
19.4 IPS |
|
|
Face Detection (SP)
|
100% |
753
8.95 IPS |
|
|
Face Detection (HP)
|
100% |
754
8.95 IPS |
|
|
Face Detection (Q)
|
97% |
553
6.59 IPS |
|
|
Depth Estimation (SP)
|
100% |
687
5.29 IPS |
|
|
Depth Estimation (HP)
|
99% |
693
5.34 IPS |
|
|
Depth Estimation (Q)
|
63% |
477
4.47 IPS |
|
|
Style Transfer (SP)
|
100% |
1030
1.32 IPS |
|
|
Style Transfer (HP)
|
100% |
1033
1.33 IPS |
|
|
Style Transfer (Q)
|
98% |
1182
1.52 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
365
13.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
372
13.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
311
11.5 IPS |
|
|
Text Classification (SP)
|
100% |
565
754.6 IPS |
|
|
Text Classification (HP)
|
100% |
562
750.0 IPS |
|
|
Text Classification (Q)
|
92% |
223
299.7 IPS |
|
|
Machine Translation (SP)
|
100% |
773
13.3 IPS |
|
|
Machine Translation (HP)
|
100% |
782
13.5 IPS |
|
|
Machine Translation (Q)
|
58% |
234
5.48 IPS |
