LENOVO 21QESIT004
Geekbench AI Score
4250
Single Precision Score
4098
Half Precision Score
10500
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | September 03 2025 09:06 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| 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% |
3151
586.0 IPS |
|
|
Image Classification (HP)
|
100% |
3391
630.7 IPS |
|
|
Image Classification (Q)
|
100% |
8252
1.53 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3978
64.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2351
38.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
8490
137.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5228
6.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
5072
5.92 IPS |
|
|
Pose Estimation (Q)
|
96% |
19471
22.8 IPS |
|
|
Object Detection (SP)
|
100% |
2256
178.9 IPS |
|
|
Object Detection (HP)
|
100% |
2583
204.9 IPS |
|
|
Object Detection (Q)
|
88% |
6860
549.9 IPS |
|
|
Face Detection (SP)
|
100% |
7351
87.3 IPS |
|
|
Face Detection (HP)
|
100% |
7333
87.1 IPS |
|
|
Face Detection (Q)
|
100% |
15941
189.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6601
50.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
6206
47.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
17019
132.3 IPS |
|
|
Style Transfer (SP)
|
100% |
13968
18.0 IPS |
|
|
Style Transfer (HP)
|
100% |
13013
16.7 IPS |
|
|
Style Transfer (Q)
|
98% |
51998
67.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2700
99.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2675
98.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9787
362.4 IPS |
|
|
Text Classification (SP)
|
100% |
2481
3.31 KIPS |
|
|
Text Classification (HP)
|
100% |
2246
3.00 KIPS |
|
|
Text Classification (Q)
|
92% |
4634
6.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
2868
49.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3596
61.9 IPS |
|
|
Machine Translation (Q)
|
100% |
2722
46.9 IPS |
