LENOVO 21WNSIT028
Geekbench AI Score
6518
Single Precision Score
13394
Half Precision Score
4420
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | February 09 2026 04:45 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21WNSIT028 |
| Motherboard | LENOVO 21WNSIT028 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 356H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 204 Stepping 2 |
| Base Frequency | 1.90 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3982
740.6 IPS |
|
|
Image Classification (HP)
|
100% |
6307
1.17 KIPS |
|
|
Image Classification (Q)
|
100% |
3071
571.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
5660
91.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
11051
179.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3945
64.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8962
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
25629
29.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
8113
9.51 IPS |
|
|
Object Detection (SP)
|
100% |
4442
352.4 IPS |
|
|
Object Detection (HP)
|
100% |
8577
680.4 IPS |
|
|
Object Detection (Q)
|
88% |
3436
275.6 IPS |
|
|
Face Detection (SP)
|
100% |
8633
102.6 IPS |
|
|
Face Detection (HP)
|
100% |
15467
183.8 IPS |
|
|
Face Detection (Q)
|
97% |
6015
71.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
15029
115.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
38088
293.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
10547
84.2 IPS |
|
|
Style Transfer (SP)
|
100% |
36333
46.7 IPS |
|
|
Style Transfer (HP)
|
100% |
134772
173.3 IPS |
|
|
Style Transfer (Q)
|
98% |
28116
36.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6863
253.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17052
629.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4522
167.4 IPS |
|
|
Text Classification (SP)
|
100% |
1325
1.77 KIPS |
|
|
Text Classification (HP)
|
100% |
2192
2.93 KIPS |
|
|
Text Classification (Q)
|
97% |
760
1.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
3602
62.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4090
70.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1376
25.8 IPS |
