Insyde MeteorLake
Geekbench AI Score
1250
Single Precision Score
1239
Half Precision Score
866
Quantized Score
Geekbench AI 1.4.0 for Linux AVX2
Result Information
| Upload Date | September 04 2025 12:39 PM |
| Views | 1 |
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% |
953
177.2 IPS |
|
|
Image Classification (HP)
|
100% |
874
162.6 IPS |
|
|
Image Classification (Q)
|
99% |
646
120.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1373
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1408
22.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
783
12.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1422
1.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
1278
1.49 IPS |
|
|
Pose Estimation (Q)
|
96% |
1532
1.79 IPS |
|
|
Object Detection (SP)
|
100% |
1020
80.9 IPS |
|
|
Object Detection (HP)
|
100% |
985
78.1 IPS |
|
|
Object Detection (Q)
|
85% |
561
45.2 IPS |
|
|
Face Detection (SP)
|
100% |
1709
20.3 IPS |
|
|
Face Detection (HP)
|
100% |
1705
20.3 IPS |
|
|
Face Detection (Q)
|
97% |
1610
19.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1357
10.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1420
10.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
1201
11.3 IPS |
|
|
Style Transfer (SP)
|
100% |
1898
2.44 IPS |
|
|
Style Transfer (HP)
|
100% |
1880
2.42 IPS |
|
|
Style Transfer (Q)
|
98% |
3030
3.91 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1165
43.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1179
43.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
675
25.0 IPS |
|
|
Text Classification (SP)
|
100% |
678
905.0 IPS |
|
|
Text Classification (HP)
|
100% |
703
938.5 IPS |
|
|
Text Classification (Q)
|
92% |
336
450.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1415
24.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1459
25.1 IPS |
|
|
Machine Translation (Q)
|
58% |
411
9.66 IPS |
