GMKtec M3
Geekbench AI Score
1534
Single Precision Score
1489
Half Precision Score
1025
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | cvgb |
| Upload Date | October 27 2025 08:57 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i5-12450H |
| System Information | |
|---|---|
| Operating System | Ubuntu 25.10 |
| Model | GMKtec M3 |
| Motherboard | GMKtec GMKtec |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12450H |
| Topology | 1 Processor, 8 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 61.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1034
192.3 IPS |
|
|
Image Classification (HP)
|
100% |
1052
195.6 IPS |
|
|
Image Classification (Q)
|
99% |
604
112.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1354
21.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1327
21.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
800
13.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1905
2.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
1915
2.23 IPS |
|
|
Pose Estimation (Q)
|
96% |
1839
2.15 IPS |
|
|
Object Detection (SP)
|
100% |
1078
85.5 IPS |
|
|
Object Detection (HP)
|
100% |
1025
81.3 IPS |
|
|
Object Detection (Q)
|
85% |
716
57.6 IPS |
|
|
Face Detection (SP)
|
100% |
1906
22.7 IPS |
|
|
Face Detection (HP)
|
100% |
1912
22.7 IPS |
|
|
Face Detection (Q)
|
97% |
1666
19.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1935
14.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1937
14.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
1382
13.0 IPS |
|
|
Style Transfer (SP)
|
100% |
2637
3.39 IPS |
|
|
Style Transfer (HP)
|
100% |
2587
3.33 IPS |
|
|
Style Transfer (Q)
|
98% |
3784
4.88 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1273
47.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1134
41.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
889
32.9 IPS |
|
|
Text Classification (SP)
|
100% |
1128
1.51 KIPS |
|
|
Text Classification (HP)
|
100% |
1110
1.48 KIPS |
|
|
Text Classification (Q)
|
92% |
505
678.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1805
31.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1632
28.1 IPS |
|
|
Machine Translation (Q)
|
58% |
516
12.1 IPS |
