Insyde MeteorLake
Geekbench AI Score
1170
Single Precision Score
474
Half Precision Score
4173
Quantized Score
Geekbench AI 1.4.0 for Linux AVX2
Result Information
| Upload Date | September 04 2025 09:40 AM |
| Views | 5 |
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% |
835
155.3 IPS |
|
|
Image Classification (HP)
|
100% |
152
28.2 IPS |
|
|
Image Classification (Q)
|
97% |
3245
605.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
642
10.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
202
3.28 IPS |
|
|
Image Segmentation (Q)
|
99% |
2126
34.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
859
1.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
1296
1.51 IPS |
|
|
Pose Estimation (Q)
|
94% |
11127
13.0 IPS |
|
|
Object Detection (SP)
|
100% |
809
64.2 IPS |
|
|
Object Detection (HP)
|
100% |
134
10.6 IPS |
|
|
Object Detection (Q)
|
86% |
4009
322.2 IPS |
|
|
Face Detection (SP)
|
100% |
1576
18.7 IPS |
|
|
Face Detection (HP)
|
100% |
279
3.32 IPS |
|
|
Face Detection (Q)
|
97% |
8821
105.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2332
18.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
676
5.21 IPS |
|
|
Depth Estimation (Q)
|
78% |
9100
72.6 IPS |
|
|
Style Transfer (SP)
|
100% |
3071
3.95 IPS |
|
|
Style Transfer (HP)
|
100% |
3958
5.09 IPS |
|
|
Style Transfer (Q)
|
98% |
9917
12.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1041
38.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
915
33.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2733
101.2 IPS |
|
|
Text Classification (SP)
|
100% |
917
1.22 KIPS |
|
|
Text Classification (HP)
|
100% |
418
558.1 IPS |
|
|
Text Classification (Q)
|
97% |
1264
1.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
1206
20.8 IPS |
|
|
Machine Translation (HP)
|
100% |
384
6.62 IPS |
|
|
Machine Translation (Q)
|
65% |
1895
38.1 IPS |
