GMKtec M2
Geekbench AI Score
41
Single Precision Score
41
Half Precision Score
30
Quantized Score
Geekbench AI 1.5.0 for Linux x86 (64-bit)
Result Information
| User | cvgb |
| Upload Date | October 05 2025 01:02 AM |
| Views | 6 |
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% |
25
4.67 IPS |
|
|
Image Classification (HP)
|
100% |
23
4.33 IPS |
|
|
Image Classification (Q)
|
97% |
18
3.38 IPS |
|
|
Image Segmentation (SP)
|
100% |
32
0.52 IPS |
|
|
Image Segmentation (HP)
|
100% |
32
0.52 IPS |
|
|
Image Segmentation (Q)
|
98% |
25
0.41 IPS |
|
|
Pose Estimation (SP)
|
100% |
38
0.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
38
0.04 IPS |
|
|
Pose Estimation (Q)
|
96% |
30
0.03 IPS |
|
|
Object Detection (SP)
|
100% |
23
1.79 IPS |
|
|
Object Detection (HP)
|
100% |
23
1.80 IPS |
|
|
Object Detection (Q)
|
87% |
18
1.42 IPS |
|
|
Face Detection (SP)
|
100% |
75
0.89 IPS |
|
|
Face Detection (HP)
|
100% |
76
0.90 IPS |
|
|
Face Detection (Q)
|
97% |
58
0.69 IPS |
|
|
Depth Estimation (SP)
|
100% |
55
0.42 IPS |
|
|
Depth Estimation (HP)
|
99% |
55
0.42 IPS |
|
|
Depth Estimation (Q)
|
64% |
36
0.33 IPS |
|
|
Style Transfer (SP)
|
100% |
117
0.15 IPS |
|
|
Style Transfer (HP)
|
100% |
116
0.15 IPS |
|
|
Style Transfer (Q)
|
98% |
92
0.12 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24
0.90 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24
0.90 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
19
0.71 IPS |
|
|
Text Classification (SP)
|
100% |
32
42.7 IPS |
|
|
Text Classification (HP)
|
100% |
32
43.0 IPS |
|
|
Text Classification (Q)
|
91% |
24
32.3 IPS |
|
|
Machine Translation (SP)
|
100% |
59
1.01 IPS |
|
|
Machine Translation (HP)
|
100% |
58
1.00 IPS |
|
|
Machine Translation (Q)
|
58% |
31
0.75 IPS |
