GEEKOM GT1 Mega
Geekbench AI Score
2086
Single Precision Score
2043
Half Precision Score
1368
Quantized Score
Geekbench AI 1.1.0 for Linux AVX2
Result Information
| Upload Date | December 01 2024 10:15 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core Ultra 9 185H |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.10 |
| 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 | 30.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1358
252.6 IPS |
|
|
Image Classification (HP)
|
100% |
1522
283.1 IPS |
|
|
Image Classification (Q)
|
99% |
905
168.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2280
37.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2268
36.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1037
16.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2684
3.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
2654
3.10 IPS |
|
|
Pose Estimation (Q)
|
96% |
3261
3.82 IPS |
|
|
Object Detection (SP)
|
100% |
1729
137.1 IPS |
|
|
Object Detection (HP)
|
100% |
1529
121.3 IPS |
|
|
Object Detection (Q)
|
85% |
1030
82.9 IPS |
|
|
Face Detection (SP)
|
100% |
3147
37.4 IPS |
|
|
Face Detection (HP)
|
100% |
3170
37.7 IPS |
|
|
Face Detection (Q)
|
97% |
2299
27.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2647
20.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2650
20.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
1958
18.4 IPS |
|
|
Style Transfer (SP)
|
100% |
3519
4.52 IPS |
|
|
Style Transfer (HP)
|
100% |
3535
4.54 IPS |
|
|
Style Transfer (Q)
|
98% |
5885
7.59 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1497
55.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1465
54.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1240
46.0 IPS |
|
|
Text Classification (SP)
|
100% |
1073
1.43 KIPS |
|
|
Text Classification (HP)
|
100% |
1156
1.54 KIPS |
|
|
Text Classification (Q)
|
92% |
402
540.7 IPS |
|
|
Machine Translation (SP)
|
100% |
2316
39.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1805
31.1 IPS |
|
|
Machine Translation (Q)
|
58% |
553
13.0 IPS |
