GEEKOM GT1 Mega
Geekbench AI Score
2035
Single Precision Score
2061
Half Precision Score
1388
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| Upload Date | November 11 2025 08:23 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core Ultra 9 185H |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.3 LTS |
| Model | GEEKOM GT1 Mega |
| Motherboard | Default string GT1 Mega |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 185H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 4.80 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 30.88 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1388
258.2 IPS |
|
|
Image Classification (HP)
|
100% |
1381
256.9 IPS |
|
|
Image Classification (Q)
|
99% |
956
178.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2227
36.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2263
36.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
994
16.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2636
3.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
2586
3.02 IPS |
|
|
Pose Estimation (Q)
|
96% |
3089
3.62 IPS |
|
|
Object Detection (SP)
|
100% |
1474
116.9 IPS |
|
|
Object Detection (HP)
|
100% |
1416
112.3 IPS |
|
|
Object Detection (Q)
|
85% |
1017
81.9 IPS |
|
|
Face Detection (SP)
|
100% |
2949
35.0 IPS |
|
|
Face Detection (HP)
|
100% |
2965
35.2 IPS |
|
|
Face Detection (Q)
|
97% |
2255
26.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2547
19.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2464
19.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
1837
17.2 IPS |
|
|
Style Transfer (SP)
|
100% |
3452
4.44 IPS |
|
|
Style Transfer (HP)
|
100% |
3354
4.31 IPS |
|
|
Style Transfer (Q)
|
98% |
5651
7.29 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1933
71.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1924
71.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1430
53.0 IPS |
|
|
Text Classification (SP)
|
100% |
971
1.30 KIPS |
|
|
Text Classification (HP)
|
100% |
1285
1.72 KIPS |
|
|
Text Classification (Q)
|
92% |
541
726.2 IPS |
|
|
Machine Translation (SP)
|
100% |
2094
36.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2004
34.5 IPS |
|
|
Machine Translation (Q)
|
58% |
492
11.5 IPS |
