GEEKOM GT1 Mega
Geekbench AI Score
8179
Single Precision Score
12570
Half Precision Score
19266
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 10 2024 11:12 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | GEEKOM GT1 Mega |
| Motherboard | Default string GT1 Mega |
| Power Plan | Balanced |
| 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 | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5510
1.02 KIPS |
|
|
Image Classification (HP)
|
100% |
8225
1.53 KIPS |
|
|
Image Classification (Q)
|
100% |
9704
1.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4273
69.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
10031
162.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
16171
262.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
23213
27.1 IPS |
|
|
Pose Estimation (HP)
|
99% |
22118
25.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
75137
88.0 IPS |
|
|
Object Detection (SP)
|
100% |
5292
419.8 IPS |
|
|
Object Detection (HP)
|
100% |
8341
661.6 IPS |
|
|
Object Detection (Q)
|
88% |
12222
979.4 IPS |
|
|
Face Detection (SP)
|
100% |
8902
105.8 IPS |
|
|
Face Detection (HP)
|
100% |
18162
215.8 IPS |
|
|
Face Detection (Q)
|
100% |
31154
370.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
18917
145.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
33985
262.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
40106
311.7 IPS |
|
|
Style Transfer (SP)
|
100% |
55054
70.8 IPS |
|
|
Style Transfer (HP)
|
100% |
73934
95.0 IPS |
|
|
Style Transfer (Q)
|
98% |
172746
222.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8903
328.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16320
602.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24088
892.1 IPS |
|
|
Text Classification (SP)
|
71% |
2132
3.08 KIPS |
|
|
Text Classification (HP)
|
71% |
2624
3.80 KIPS |
|
|
Text Classification (Q)
|
92% |
2811
3.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
2635
45.4 IPS |
|
|
Machine Translation (HP)
|
96% |
3311
57.3 IPS |
|
|
Machine Translation (Q)
|
100% |
3346
57.6 IPS |
