LENOVO 21LD
Geekbench AI Score
2123
Single Precision Score
6600
Half Precision Score
10834
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 09 2025 08:41 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | LENOVO 21LD |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1572
292.3 IPS |
|
|
Image Classification (HP)
|
100% |
5728
1.07 KIPS |
|
|
Image Classification (Q)
|
100% |
8331
1.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2391
38.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2323
37.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3128
50.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4446
5.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
29394
34.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
64120
75.1 IPS |
|
|
Object Detection (SP)
|
100% |
1477
117.2 IPS |
|
|
Object Detection (HP)
|
100% |
4430
351.4 IPS |
|
|
Object Detection (Q)
|
89% |
7808
625.4 IPS |
|
|
Face Detection (SP)
|
100% |
4646
55.2 IPS |
|
|
Face Detection (HP)
|
100% |
11690
138.9 IPS |
|
|
Face Detection (Q)
|
100% |
24373
289.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3594
27.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
15721
121.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
30280
235.6 IPS |
|
|
Style Transfer (SP)
|
100% |
9414
12.1 IPS |
|
|
Style Transfer (HP)
|
100% |
30673
39.4 IPS |
|
|
Style Transfer (Q)
|
98% |
54431
70.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
985
36.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6769
250.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15549
575.8 IPS |
|
|
Text Classification (SP)
|
100% |
474
632.0 IPS |
|
|
Text Classification (HP)
|
100% |
983
1.31 KIPS |
|
|
Text Classification (Q)
|
92% |
966
1.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
1027
17.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2414
41.6 IPS |
|
|
Machine Translation (Q)
|
100% |
2832
48.8 IPS |
