LENOVO 21YY0SIT02
Geekbench AI Score
3228
Single Precision Score
1409
Half Precision Score
6279
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 22 2026 10:14 AM |
| Views | 6 |
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% |
2521
468.8 IPS |
|
|
Image Classification (HP)
|
100% |
587
109.1 IPS |
|
|
Image Classification (Q)
|
99% |
5398
1.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1608
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
878
14.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
7070
115.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5014
5.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
3313
3.87 IPS |
|
|
Pose Estimation (Q)
|
94% |
16551
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2259
179.1 IPS |
|
|
Object Detection (HP)
|
100% |
677
53.7 IPS |
|
|
Object Detection (Q)
|
86% |
5026
403.9 IPS |
|
|
Face Detection (SP)
|
100% |
6259
74.4 IPS |
|
|
Face Detection (HP)
|
100% |
1499
17.8 IPS |
|
|
Face Detection (Q)
|
97% |
8040
95.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6501
50.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2011
15.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
12708
101.4 IPS |
|
|
Style Transfer (SP)
|
100% |
11906
15.3 IPS |
|
|
Style Transfer (HP)
|
100% |
8619
11.1 IPS |
|
|
Style Transfer (Q)
|
98% |
19781
25.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2217
81.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1491
55.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4416
163.5 IPS |
|
|
Text Classification (SP)
|
100% |
1449
1.93 KIPS |
|
|
Text Classification (HP)
|
100% |
770
1.03 KIPS |
|
|
Text Classification (Q)
|
97% |
1403
1.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
1724
29.7 IPS |
|
|
Machine Translation (HP)
|
100% |
895
15.4 IPS |
|
|
Machine Translation (Q)
|
65% |
2397
48.2 IPS |
