LENOVO P1 Gen 1 LENOVO 20MES2GF00
Geekbench AI Score
892
Single Precision Score
884
Half Precision Score
491
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | arkansawdave74 |
| Upload Date | April 02 2025 06:25 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Xeon E-2176M |
| System Information | |
|---|---|
| Operating System | Garuda Linux |
| Model | LENOVO 20MES2GF00 |
| Motherboard | LENOVO 20MES2GF00 |
| CPU Information | |
|---|---|
| Name | Intel Xeon E-2176M |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 30.77 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
664
123.5 IPS |
|
|
Image Classification (HP)
|
100% |
670
124.5 IPS |
|
|
Image Classification (Q)
|
99% |
310
57.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
837
13.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
861
14.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
398
6.48 IPS |
|
|
Pose Estimation (SP)
|
100% |
1172
1.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
1127
1.32 IPS |
|
|
Pose Estimation (Q)
|
96% |
994
1.16 IPS |
|
|
Object Detection (SP)
|
100% |
584
46.3 IPS |
|
|
Object Detection (HP)
|
100% |
584
46.4 IPS |
|
|
Object Detection (Q)
|
85% |
325
26.2 IPS |
|
|
Face Detection (SP)
|
100% |
1096
13.0 IPS |
|
|
Face Detection (HP)
|
100% |
1122
13.3 IPS |
|
|
Face Detection (Q)
|
97% |
646
7.70 IPS |
|
|
Depth Estimation (SP)
|
100% |
1120
8.63 IPS |
|
|
Depth Estimation (HP)
|
99% |
1106
8.52 IPS |
|
|
Depth Estimation (Q)
|
63% |
676
6.34 IPS |
|
|
Style Transfer (SP)
|
100% |
1618
2.08 IPS |
|
|
Style Transfer (HP)
|
100% |
1628
2.09 IPS |
|
|
Style Transfer (Q)
|
98% |
1946
2.51 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
599
22.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
613
22.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
486
18.0 IPS |
|
|
Text Classification (SP)
|
100% |
790
1.06 KIPS |
|
|
Text Classification (HP)
|
100% |
702
936.4 IPS |
|
|
Text Classification (Q)
|
92% |
207
278.3 IPS |
|
|
Machine Translation (SP)
|
100% |
901
15.5 IPS |
|
|
Machine Translation (HP)
|
100% |
889
15.3 IPS |
|
|
Machine Translation (Q)
|
58% |
243
5.70 IPS |
