Insyde MeteorLake
Geekbench AI Score
1149
Single Precision Score
432
Half Precision Score
4162
Quantized Score
Geekbench AI 1.4.0 for Linux AVX2
Result Information
| Upload Date | September 04 2025 12:44 PM |
| Views | 1 |
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% |
754
140.2 IPS |
|
|
Image Classification (HP)
|
100% |
157
29.1 IPS |
|
|
Image Classification (Q)
|
97% |
3706
691.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
605
9.81 IPS |
|
|
Image Segmentation (HP)
|
100% |
165
2.67 IPS |
|
|
Image Segmentation (Q)
|
99% |
2162
35.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
882
1.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
1307
1.53 IPS |
|
|
Pose Estimation (Q)
|
94% |
10963
12.9 IPS |
|
|
Object Detection (SP)
|
100% |
958
76.0 IPS |
|
|
Object Detection (HP)
|
100% |
133
10.5 IPS |
|
|
Object Detection (Q)
|
86% |
3502
281.4 IPS |
|
|
Face Detection (SP)
|
100% |
1423
16.9 IPS |
|
|
Face Detection (HP)
|
100% |
206
2.45 IPS |
|
|
Face Detection (Q)
|
97% |
7720
92.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2359
18.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
710
5.47 IPS |
|
|
Depth Estimation (Q)
|
78% |
7877
62.9 IPS |
|
|
Style Transfer (SP)
|
100% |
2898
3.72 IPS |
|
|
Style Transfer (HP)
|
100% |
3994
5.13 IPS |
|
|
Style Transfer (Q)
|
98% |
10430
13.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1064
39.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
783
28.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2954
109.4 IPS |
|
|
Text Classification (SP)
|
100% |
834
1.11 KIPS |
|
|
Text Classification (HP)
|
100% |
292
390.2 IPS |
|
|
Text Classification (Q)
|
97% |
1268
1.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
1213
20.9 IPS |
|
|
Machine Translation (HP)
|
100% |
382
6.58 IPS |
|
|
Machine Translation (Q)
|
65% |
2137
42.9 IPS |
