LENOVO 21YY0SIT02
Geekbench AI Score
3272
Single Precision Score
1436
Half Precision Score
6424
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 22 2026 10:28 AM |
| Views | 9 |
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% |
2538
472.0 IPS |
|
|
Image Classification (HP)
|
100% |
563
104.7 IPS |
|
|
Image Classification (Q)
|
99% |
5485
1.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1592
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
907
14.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
7526
122.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5209
6.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
3378
3.94 IPS |
|
|
Pose Estimation (Q)
|
94% |
17059
20.0 IPS |
|
|
Object Detection (SP)
|
100% |
2245
178.1 IPS |
|
|
Object Detection (HP)
|
100% |
677
53.7 IPS |
|
|
Object Detection (Q)
|
86% |
5029
404.2 IPS |
|
|
Face Detection (SP)
|
100% |
6424
76.3 IPS |
|
|
Face Detection (HP)
|
100% |
1531
18.2 IPS |
|
|
Face Detection (Q)
|
97% |
7972
95.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6569
50.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2006
15.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
12566
100.3 IPS |
|
|
Style Transfer (SP)
|
100% |
11924
15.3 IPS |
|
|
Style Transfer (HP)
|
100% |
8845
11.4 IPS |
|
|
Style Transfer (Q)
|
98% |
20057
25.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2176
80.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1674
61.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4869
180.3 IPS |
|
|
Text Classification (SP)
|
100% |
1431
1.91 KIPS |
|
|
Text Classification (HP)
|
100% |
735
981.5 IPS |
|
|
Text Classification (Q)
|
97% |
1428
1.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
1901
32.7 IPS |
|
|
Machine Translation (HP)
|
100% |
961
16.5 IPS |
|
|
Machine Translation (Q)
|
65% |
2420
48.6 IPS |
