LENOVO 20M9S27P00
Geekbench AI Score
1584
Single Precision Score
2316
Half Precision Score
2134
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 26 2025 05:17 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 630 (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 20M9S27P00 |
| Motherboard | LENOVO 20M9S27P00 |
| Power Plan | Lenovo Intelligent Power |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8850H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 2.59 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1020
189.6 IPS |
|
|
Image Classification (HP)
|
100% |
1575
292.9 IPS |
|
|
Image Classification (Q)
|
100% |
1435
266.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1301
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2132
34.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
1990
32.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2554
2.98 IPS |
|
|
Pose Estimation (HP)
|
99% |
2342
2.74 IPS |
|
|
Pose Estimation (Q)
|
97% |
3490
4.09 IPS |
|
|
Object Detection (SP)
|
100% |
986
78.2 IPS |
|
|
Object Detection (HP)
|
99% |
1615
128.5 IPS |
|
|
Object Detection (Q)
|
88% |
1502
120.5 IPS |
|
|
Face Detection (SP)
|
100% |
2742
32.6 IPS |
|
|
Face Detection (HP)
|
100% |
4642
55.2 IPS |
|
|
Face Detection (Q)
|
97% |
4060
48.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2960
22.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
5028
38.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
4584
35.7 IPS |
|
|
Style Transfer (SP)
|
100% |
7072
9.09 IPS |
|
|
Style Transfer (HP)
|
100% |
9533
12.3 IPS |
|
|
Style Transfer (Q)
|
98% |
8572
11.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1235
45.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2167
80.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2049
75.9 IPS |
|
|
Text Classification (SP)
|
71% |
668
965.6 IPS |
|
|
Text Classification (HP)
|
71% |
791
1.14 KIPS |
|
|
Text Classification (Q)
|
92% |
424
569.8 IPS |
|
|
Machine Translation (SP)
|
100% |
630
10.9 IPS |
|
|
Machine Translation (HP)
|
97% |
917
15.9 IPS |
|
|
Machine Translation (Q)
|
98% |
948
16.4 IPS |
