LENOVO 21QESIT004
Geekbench AI Score
3534
Single Precision Score
1397
Half Precision Score
6172
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | August 29 2025 09:53 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21QESIT004 |
| Motherboard | LENOVO 21QESIT004 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3153
586.4 IPS |
|
|
Image Classification (HP)
|
100% |
583
108.5 IPS |
|
|
Image Classification (Q)
|
99% |
7481
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1670
27.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1056
17.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3133
50.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5063
5.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
3614
4.22 IPS |
|
|
Pose Estimation (Q)
|
94% |
18511
21.7 IPS |
|
|
Object Detection (SP)
|
100% |
2693
213.6 IPS |
|
|
Object Detection (HP)
|
100% |
641
50.9 IPS |
|
|
Object Detection (Q)
|
86% |
5902
474.3 IPS |
|
|
Face Detection (SP)
|
100% |
7130
84.7 IPS |
|
|
Face Detection (HP)
|
100% |
1720
20.4 IPS |
|
|
Face Detection (Q)
|
97% |
8253
98.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6214
47.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1765
13.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
10774
86.0 IPS |
|
|
Style Transfer (SP)
|
100% |
12858
16.5 IPS |
|
|
Style Transfer (HP)
|
100% |
8457
10.9 IPS |
|
|
Style Transfer (Q)
|
98% |
19798
25.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2259
83.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1731
63.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3861
143.0 IPS |
|
|
Text Classification (SP)
|
100% |
1523
2.03 KIPS |
|
|
Text Classification (HP)
|
100% |
667
890.0 IPS |
|
|
Text Classification (Q)
|
97% |
1496
2.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
2160
37.2 IPS |
|
|
Machine Translation (HP)
|
100% |
672
11.6 IPS |
|
|
Machine Translation (Q)
|
65% |
3081
61.9 IPS |
