LENOVO 21YY0SIT02
Geekbench AI Score
3240
Single Precision Score
1453
Half Precision Score
6412
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 22 2026 09:42 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 365 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21YY0SIT02 |
| Motherboard | LENOVO 21YY0SIT02 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 365 |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 204 Stepping 3 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2481
461.5 IPS |
|
|
Image Classification (HP)
|
100% |
583
108.5 IPS |
|
|
Image Classification (Q)
|
99% |
5311
990.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1554
25.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
903
14.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
7459
121.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5124
5.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
3417
3.99 IPS |
|
|
Pose Estimation (Q)
|
94% |
17366
20.4 IPS |
|
|
Object Detection (SP)
|
100% |
2336
185.3 IPS |
|
|
Object Detection (HP)
|
100% |
715
56.7 IPS |
|
|
Object Detection (Q)
|
86% |
4931
396.3 IPS |
|
|
Face Detection (SP)
|
100% |
6489
77.1 IPS |
|
|
Face Detection (HP)
|
100% |
1625
19.3 IPS |
|
|
Face Detection (Q)
|
97% |
8322
99.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6544
50.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2085
16.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
12490
99.7 IPS |
|
|
Style Transfer (SP)
|
100% |
11915
15.3 IPS |
|
|
Style Transfer (HP)
|
100% |
8737
11.2 IPS |
|
|
Style Transfer (Q)
|
98% |
19943
25.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2155
79.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1574
58.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4413
163.4 IPS |
|
|
Text Classification (SP)
|
100% |
1331
1.78 KIPS |
|
|
Text Classification (HP)
|
100% |
728
971.8 IPS |
|
|
Text Classification (Q)
|
97% |
1437
1.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
1904
32.8 IPS |
|
|
Machine Translation (HP)
|
100% |
963
16.6 IPS |
|
|
Machine Translation (Q)
|
65% |
2638
53.0 IPS |
