Insyde MeteorLake
Geekbench AI Score
1235
Single Precision Score
1262
Half Precision Score
932
Quantized Score
Geekbench AI 1.4.0 for Linux AVX2
Result Information
| Upload Date | September 04 2025 09:59 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core Ultra 7 155U |
| System Information | |
|---|---|
| Operating System | Astra Linux |
| Model | Insyde MeteorLake |
| Motherboard | Type2 - Board Vendor Name1 Type2 - Board Product Name1 |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155U |
| Topology | 1 Processor, 12 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 4.80 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 7.20 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
994
184.8 IPS |
|
|
Image Classification (HP)
|
100% |
946
175.9 IPS |
|
|
Image Classification (Q)
|
99% |
636
118.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1465
23.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1394
22.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
759
12.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1472
1.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
1278
1.49 IPS |
|
|
Pose Estimation (Q)
|
96% |
1513
1.77 IPS |
|
|
Object Detection (SP)
|
100% |
964
76.5 IPS |
|
|
Object Detection (HP)
|
100% |
984
78.1 IPS |
|
|
Object Detection (Q)
|
85% |
658
53.0 IPS |
|
|
Face Detection (SP)
|
100% |
1674
19.9 IPS |
|
|
Face Detection (HP)
|
100% |
1654
19.7 IPS |
|
|
Face Detection (Q)
|
97% |
1582
18.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1436
11.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1334
10.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
1257
11.8 IPS |
|
|
Style Transfer (SP)
|
100% |
1872
2.41 IPS |
|
|
Style Transfer (HP)
|
100% |
1868
2.40 IPS |
|
|
Style Transfer (Q)
|
98% |
3307
4.26 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
888
32.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1183
43.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
975
36.1 IPS |
|
|
Text Classification (SP)
|
100% |
825
1.10 KIPS |
|
|
Text Classification (HP)
|
100% |
830
1.11 KIPS |
|
|
Text Classification (Q)
|
92% |
432
580.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1217
21.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1538
26.5 IPS |
|
|
Machine Translation (Q)
|
58% |
372
8.72 IPS |
