LENOVO 21SX0037US
Geekbench AI Score
2486
Single Precision Score
1020
Half Precision Score
4331
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | averyfreeman |
| Upload Date | September 01 2025 05:39 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 255H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 IoT Enterprise (64-bit) |
| Model | LENOVO 21SX0037US |
| Motherboard | LENOVO 21SX0037US |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1952
363.1 IPS |
|
|
Image Classification (HP)
|
100% |
439
81.6 IPS |
|
|
Image Classification (Q)
|
99% |
5017
935.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1366
22.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
706
11.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2337
38.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4932
5.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
2488
2.90 IPS |
|
|
Pose Estimation (Q)
|
94% |
16303
19.1 IPS |
|
|
Object Detection (SP)
|
100% |
1179
93.5 IPS |
|
|
Object Detection (HP)
|
100% |
461
36.5 IPS |
|
|
Object Detection (Q)
|
86% |
3999
321.4 IPS |
|
|
Face Detection (SP)
|
100% |
3853
45.8 IPS |
|
|
Face Detection (HP)
|
100% |
933
11.1 IPS |
|
|
Face Detection (Q)
|
97% |
5813
69.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5257
40.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1251
9.64 IPS |
|
|
Depth Estimation (Q)
|
78% |
9506
75.9 IPS |
|
|
Style Transfer (SP)
|
100% |
11246
14.5 IPS |
|
|
Style Transfer (HP)
|
100% |
7628
9.81 IPS |
|
|
Style Transfer (Q)
|
98% |
11531
14.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1918
70.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1361
50.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2346
86.9 IPS |
|
|
Text Classification (SP)
|
100% |
1028
1.37 KIPS |
|
|
Text Classification (HP)
|
100% |
528
705.4 IPS |
|
|
Text Classification (Q)
|
97% |
1128
1.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
1295
22.3 IPS |
|
|
Machine Translation (HP)
|
100% |
540
9.30 IPS |
|
|
Machine Translation (Q)
|
65% |
1802
36.2 IPS |
