GMKtec M2
Geekbench AI Score
1546
Single Precision Score
1554
Half Precision Score
866
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | cvgb |
| Upload Date | October 04 2025 10:49 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i7-11390H |
| System Information | |
|---|---|
| Operating System | Ubuntu 25.10 |
| Model | GMKtec M2 |
| Motherboard | GMKtec GMKtec |
| CPU Information | |
|---|---|
| Name | Intel Core i7-11390H |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 2 |
| Base Frequency | 4.80 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 30.59 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
984
183.0 IPS |
|
|
Image Classification (HP)
|
100% |
989
184.0 IPS |
|
|
Image Classification (Q)
|
99% |
455
84.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1283
20.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1281
20.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
637
10.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1735
2.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
1739
2.03 IPS |
|
|
Pose Estimation (Q)
|
96% |
1294
1.52 IPS |
|
|
Object Detection (SP)
|
100% |
1116
88.5 IPS |
|
|
Object Detection (HP)
|
100% |
1124
89.2 IPS |
|
|
Object Detection (Q)
|
85% |
603
48.6 IPS |
|
|
Face Detection (SP)
|
100% |
2082
24.7 IPS |
|
|
Face Detection (HP)
|
100% |
2089
24.8 IPS |
|
|
Face Detection (Q)
|
97% |
1388
16.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1948
15.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1950
15.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
1170
11.0 IPS |
|
|
Style Transfer (SP)
|
100% |
2615
3.36 IPS |
|
|
Style Transfer (HP)
|
100% |
2619
3.37 IPS |
|
|
Style Transfer (Q)
|
98% |
3111
4.01 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1192
44.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1208
44.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
797
29.5 IPS |
|
|
Text Classification (SP)
|
100% |
1424
1.90 KIPS |
|
|
Text Classification (HP)
|
100% |
1422
1.90 KIPS |
|
|
Text Classification (Q)
|
92% |
547
734.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1776
30.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1811
31.2 IPS |
|
|
Machine Translation (Q)
|
58% |
478
11.2 IPS |
