GEEKOM GT1 Mega
Geekbench AI Score
2001
Single Precision Score
2040
Half Precision Score
1355
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| Upload Date | November 10 2025 12:48 PM |
| Views | 3 |
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% |
1373
255.3 IPS |
|
|
Image Classification (HP)
|
100% |
1344
250.0 IPS |
|
|
Image Classification (Q)
|
99% |
967
180.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2272
36.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2277
36.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
893
14.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2614
3.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
2592
3.02 IPS |
|
|
Pose Estimation (Q)
|
96% |
3112
3.65 IPS |
|
|
Object Detection (SP)
|
100% |
1506
119.5 IPS |
|
|
Object Detection (HP)
|
100% |
1441
114.3 IPS |
|
|
Object Detection (Q)
|
85% |
990
79.7 IPS |
|
|
Face Detection (SP)
|
100% |
2949
35.0 IPS |
|
|
Face Detection (HP)
|
100% |
2948
35.0 IPS |
|
|
Face Detection (Q)
|
97% |
2253
26.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2488
19.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2505
19.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
1839
17.2 IPS |
|
|
Style Transfer (SP)
|
100% |
3325
4.27 IPS |
|
|
Style Transfer (HP)
|
100% |
3405
4.38 IPS |
|
|
Style Transfer (Q)
|
98% |
5708
7.36 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1936
71.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1939
71.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1219
45.2 IPS |
|
|
Text Classification (SP)
|
100% |
1075
1.44 KIPS |
|
|
Text Classification (HP)
|
100% |
1091
1.46 KIPS |
|
|
Text Classification (Q)
|
92% |
533
715.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1655
28.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2053
35.4 IPS |
|
|
Machine Translation (Q)
|
58% |
514
12.1 IPS |
