LENOVO 21MR
Geekbench AI Score
1745
Single Precision Score
1745
Half Precision Score
1132
Quantized Score
Geekbench AI 1.4.0 for Linux AVX2
Result Information
| Upload Date | August 21 2025 08:40 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core Ultra 7 155H |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.3 LTS |
| Model | LENOVO 21MR |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 30.66 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1268
235.9 IPS |
|
|
Image Classification (HP)
|
100% |
1244
231.3 IPS |
|
|
Image Classification (Q)
|
99% |
775
144.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1920
31.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1941
31.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
941
15.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2365
2.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
2344
2.74 IPS |
|
|
Pose Estimation (Q)
|
96% |
2694
3.16 IPS |
|
|
Object Detection (SP)
|
100% |
1278
101.4 IPS |
|
|
Object Detection (HP)
|
100% |
1316
104.4 IPS |
|
|
Object Detection (Q)
|
85% |
809
65.2 IPS |
|
|
Face Detection (SP)
|
100% |
2713
32.2 IPS |
|
|
Face Detection (HP)
|
100% |
2542
30.2 IPS |
|
|
Face Detection (Q)
|
97% |
1806
21.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2296
17.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2298
17.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
1559
14.6 IPS |
|
|
Style Transfer (SP)
|
100% |
3054
3.93 IPS |
|
|
Style Transfer (HP)
|
100% |
3038
3.90 IPS |
|
|
Style Transfer (Q)
|
98% |
4614
5.95 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1299
48.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1298
47.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1083
40.1 IPS |
|
|
Text Classification (SP)
|
100% |
914
1.22 KIPS |
|
|
Text Classification (HP)
|
100% |
808
1.08 KIPS |
|
|
Text Classification (Q)
|
92% |
350
469.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1578
27.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1892
32.6 IPS |
|
|
Machine Translation (Q)
|
58% |
444
10.4 IPS |
