LENOVO 21ALS23K00
Geekbench AI Score
4976
Single Precision Score
4623
Half Precision Score
3647
Quantized Score
Geekbench AI 1.3.0 Corporate for Windows AVX2
Result Information
| Upload Date | March 23 2025 09:10 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA T550 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21ALS23K00 |
| Motherboard | LENOVO 21ALS23K00 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1270P |
| Topology | 1 Processor, 12 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2063
383.6 IPS |
|
|
Image Classification (HP)
|
100% |
2246
417.7 IPS |
|
|
Image Classification (Q)
|
99% |
1764
329.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3146
51.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3228
52.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2569
41.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
16541
19.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
12197
14.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
14361
16.8 IPS |
|
|
Object Detection (SP)
|
100% |
2394
189.9 IPS |
|
|
Object Detection (HP)
|
100% |
2696
213.8 IPS |
|
|
Object Detection (Q)
|
83% |
2022
163.3 IPS |
|
|
Face Detection (SP)
|
100% |
4519
53.7 IPS |
|
|
Face Detection (HP)
|
100% |
5053
60.0 IPS |
|
|
Face Detection (Q)
|
97% |
3803
45.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
11243
86.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
9448
72.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
8645
69.0 IPS |
|
|
Style Transfer (SP)
|
100% |
33780
43.4 IPS |
|
|
Style Transfer (HP)
|
100% |
24670
31.7 IPS |
|
|
Style Transfer (Q)
|
98% |
27657
35.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6658
245.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5992
221.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4420
163.6 IPS |
|
|
Text Classification (SP)
|
100% |
1515
2.02 KIPS |
|
|
Text Classification (HP)
|
100% |
1199
1.60 KIPS |
|
|
Text Classification (Q)
|
97% |
873
1.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
2093
36.0 IPS |
|
|
Machine Translation (HP)
|
98% |
2212
38.2 IPS |
|
|
Machine Translation (Q)
|
70% |
902
16.9 IPS |
