LENOVO 20M9S27P00
Geekbench AI Score
6029
Single Precision Score
5489
Half Precision Score
4466
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 26 2025 05:24 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA Quadro P3200 with Max-Q Design |
| 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% |
2555
475.1 IPS |
|
|
Image Classification (HP)
|
100% |
2645
491.9 IPS |
|
|
Image Classification (Q)
|
99% |
2153
401.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3497
56.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3726
60.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2903
47.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
35050
40.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
21010
24.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
27758
32.5 IPS |
|
|
Object Detection (SP)
|
100% |
2757
218.6 IPS |
|
|
Object Detection (HP)
|
100% |
2898
229.8 IPS |
|
|
Object Detection (Q)
|
84% |
2294
185.0 IPS |
|
|
Face Detection (SP)
|
100% |
5148
61.2 IPS |
|
|
Face Detection (HP)
|
100% |
5778
68.7 IPS |
|
|
Face Detection (Q)
|
97% |
4334
51.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
13367
103.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
11601
89.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
10576
84.4 IPS |
|
|
Style Transfer (SP)
|
100% |
59100
76.0 IPS |
|
|
Style Transfer (HP)
|
100% |
35627
45.8 IPS |
|
|
Style Transfer (Q)
|
98% |
46704
60.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9548
352.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8124
300.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6540
242.2 IPS |
|
|
Text Classification (SP)
|
100% |
943
1.26 KIPS |
|
|
Text Classification (HP)
|
100% |
1077
1.44 KIPS |
|
|
Text Classification (Q)
|
97% |
525
702.9 IPS |
|
|
Machine Translation (SP)
|
100% |
2009
34.6 IPS |
|
|
Machine Translation (HP)
|
96% |
1981
34.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1081
20.3 IPS |
