LENOVO ThinkPad T440p LENOVO 20AWS04Y01
Geekbench AI Score
723
Single Precision Score
423
Half Precision Score
792
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | CallumBench |
| Upload Date | February 02 2025 10:30 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-4300M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 20AWS04Y01 |
| Motherboard | LENOVO 20AWS04Y01 |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-4300M |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 2.59 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
474
88.2 IPS |
|
|
Image Classification (HP)
|
100% |
191
35.6 IPS |
|
|
Image Classification (Q)
|
96% |
535
99.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
315
5.11 IPS |
|
|
Image Segmentation (HP)
|
100% |
259
4.20 IPS |
|
|
Image Segmentation (Q)
|
97% |
501
8.16 IPS |
|
|
Pose Estimation (SP)
|
100% |
1042
1.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
838
0.98 IPS |
|
|
Pose Estimation (Q)
|
86% |
1142
1.35 IPS |
|
|
Object Detection (SP)
|
100% |
459
36.4 IPS |
|
|
Object Detection (HP)
|
100% |
228
18.1 IPS |
|
|
Object Detection (Q)
|
58% |
396
43.2 IPS |
|
|
Face Detection (SP)
|
100% |
1143
13.6 IPS |
|
|
Face Detection (HP)
|
100% |
487
5.78 IPS |
|
|
Face Detection (Q)
|
96% |
1373
16.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1270
9.79 IPS |
|
|
Depth Estimation (HP)
|
99% |
616
4.75 IPS |
|
|
Depth Estimation (Q)
|
78% |
1297
10.3 IPS |
|
|
Style Transfer (SP)
|
100% |
2432
3.13 IPS |
|
|
Style Transfer (HP)
|
100% |
1909
2.45 IPS |
|
|
Style Transfer (Q)
|
87% |
2641
3.44 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
531
19.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
437
16.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
543
20.1 IPS |
|
|
Text Classification (SP)
|
100% |
461
615.9 IPS |
|
|
Text Classification (HP)
|
100% |
275
367.4 IPS |
|
|
Text Classification (Q)
|
97% |
474
635.1 IPS |
|
|
Machine Translation (SP)
|
100% |
640
11.0 IPS |
|
|
Machine Translation (HP)
|
100% |
284
4.90 IPS |
|
|
Machine Translation (Q)
|
68% |
669
12.9 IPS |
