Insyde MeteorLake
Geekbench AI Score
1112
Single Precision Score
417
Half Precision Score
4107
Quantized Score
Geekbench AI 1.4.0 for Linux AVX2
Result Information
| Upload Date | September 04 2025 10:04 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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% |
736
136.9 IPS |
|
|
Image Classification (HP)
|
100% |
104
19.4 IPS |
|
|
Image Classification (Q)
|
97% |
3339
623.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
598
9.70 IPS |
|
|
Image Segmentation (HP)
|
100% |
165
2.67 IPS |
|
|
Image Segmentation (Q)
|
99% |
2056
33.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
867
1.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
1266
1.48 IPS |
|
|
Pose Estimation (Q)
|
94% |
11007
12.9 IPS |
|
|
Object Detection (SP)
|
100% |
765
60.7 IPS |
|
|
Object Detection (HP)
|
100% |
133
10.5 IPS |
|
|
Object Detection (Q)
|
86% |
3464
278.4 IPS |
|
|
Face Detection (SP)
|
100% |
1432
17.0 IPS |
|
|
Face Detection (HP)
|
100% |
208
2.47 IPS |
|
|
Face Detection (Q)
|
97% |
7834
93.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2152
16.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
567
4.37 IPS |
|
|
Depth Estimation (Q)
|
78% |
9058
72.3 IPS |
|
|
Style Transfer (SP)
|
100% |
2949
3.79 IPS |
|
|
Style Transfer (HP)
|
100% |
4508
5.80 IPS |
|
|
Style Transfer (Q)
|
98% |
9798
12.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1226
45.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
940
34.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2774
102.7 IPS |
|
|
Text Classification (SP)
|
100% |
741
989.7 IPS |
|
|
Text Classification (HP)
|
100% |
295
393.3 IPS |
|
|
Text Classification (Q)
|
97% |
1174
1.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
1203
20.7 IPS |
|
|
Machine Translation (HP)
|
100% |
379
6.53 IPS |
|
|
Machine Translation (Q)
|
65% |
2305
46.3 IPS |
