LENOVO 21RRS04B01
Geekbench AI Score
6619
Single Precision Score
9665
Half Precision Score
14750
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 29 2025 01:10 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21RRS04B01 |
| Motherboard | LENOVO 21RRS04B01 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265HX |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4068
756.6 IPS |
|
|
Image Classification (HP)
|
100% |
7044
1.31 KIPS |
|
|
Image Classification (Q)
|
100% |
9712
1.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5391
87.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2769
44.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3478
56.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7926
9.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
34469
40.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
74068
86.8 IPS |
|
|
Object Detection (SP)
|
100% |
3781
300.0 IPS |
|
|
Object Detection (HP)
|
100% |
6008
476.6 IPS |
|
|
Object Detection (Q)
|
87% |
9823
788.4 IPS |
|
|
Face Detection (SP)
|
100% |
11234
133.5 IPS |
|
|
Face Detection (HP)
|
100% |
16506
196.1 IPS |
|
|
Face Detection (Q)
|
100% |
33016
392.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9936
76.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
16512
127.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
30460
237.0 IPS |
|
|
Style Transfer (SP)
|
100% |
23326
30.0 IPS |
|
|
Style Transfer (HP)
|
100% |
49953
64.2 IPS |
|
|
Style Transfer (Q)
|
98% |
91822
118.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4762
175.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14105
520.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23537
871.7 IPS |
|
|
Text Classification (SP)
|
100% |
4058
5.42 KIPS |
|
|
Text Classification (HP)
|
100% |
2160
2.88 KIPS |
|
|
Text Classification (Q)
|
92% |
2122
2.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
4884
84.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4247
73.2 IPS |
|
|
Machine Translation (Q)
|
100% |
4302
74.1 IPS |
