LENOVO 21SK
Geekbench AI Score
3756
Single Precision Score
1613
Half Precision Score
7155
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 07 2025 07:20 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 255H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21SK |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 255H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2514
467.5 IPS |
|
|
Image Classification (HP)
|
100% |
526
97.9 IPS |
|
|
Image Classification (Q)
|
99% |
5291
986.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1599
25.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1039
16.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
9113
148.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6404
7.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
4722
5.51 IPS |
|
|
Pose Estimation (Q)
|
94% |
22737
26.7 IPS |
|
|
Object Detection (SP)
|
100% |
2641
209.5 IPS |
|
|
Object Detection (HP)
|
100% |
750
59.5 IPS |
|
|
Object Detection (Q)
|
86% |
6717
539.9 IPS |
|
|
Face Detection (SP)
|
100% |
8095
96.2 IPS |
|
|
Face Detection (HP)
|
100% |
1719
20.4 IPS |
|
|
Face Detection (Q)
|
97% |
8819
105.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7890
60.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2372
18.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
14522
115.9 IPS |
|
|
Style Transfer (SP)
|
100% |
15824
20.3 IPS |
|
|
Style Transfer (HP)
|
100% |
11091
14.3 IPS |
|
|
Style Transfer (Q)
|
98% |
22465
29.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2751
101.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2094
77.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4636
171.7 IPS |
|
|
Text Classification (SP)
|
100% |
1442
1.92 KIPS |
|
|
Text Classification (HP)
|
100% |
700
935.0 IPS |
|
|
Text Classification (Q)
|
97% |
1269
1.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
2052
35.3 IPS |
|
|
Machine Translation (HP)
|
100% |
933
16.1 IPS |
|
|
Machine Translation (Q)
|
65% |
2824
56.7 IPS |
