GEEKOM Mini IT13
Geekbench AI Score
2223
Single Precision Score
943
Half Precision Score
2630
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | mattoid |
| Upload Date | October 02 2024 11:01 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-13900H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | GEEKOM Mini IT13 |
| Motherboard | Default string Default string |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1204
223.9 IPS |
|
|
Image Classification (HP)
|
100% |
322
59.9 IPS |
|
|
Image Classification (Q)
|
99% |
1972
367.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1124
18.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
622
10.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1635
26.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4476
5.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
2950
3.44 IPS |
|
|
Pose Estimation (Q)
|
95% |
13408
15.7 IPS |
|
|
Object Detection (SP)
|
100% |
1507
119.5 IPS |
|
|
Object Detection (HP)
|
100% |
420
33.3 IPS |
|
|
Object Detection (Q)
|
88% |
1306
104.7 IPS |
|
|
Face Detection (SP)
|
100% |
2408
28.6 IPS |
|
|
Face Detection (HP)
|
100% |
1058
12.6 IPS |
|
|
Face Detection (Q)
|
97% |
2888
34.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4886
37.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1327
10.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
5326
42.6 IPS |
|
|
Style Transfer (SP)
|
100% |
10659
13.7 IPS |
|
|
Style Transfer (HP)
|
100% |
7240
9.31 IPS |
|
|
Style Transfer (Q)
|
98% |
14777
19.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1901
70.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1357
50.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2574
95.3 IPS |
|
|
Text Classification (SP)
|
100% |
995
1.33 KIPS |
|
|
Text Classification (HP)
|
100% |
421
561.4 IPS |
|
|
Text Classification (Q)
|
97% |
331
443.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1365
23.5 IPS |
|
|
Machine Translation (HP)
|
100% |
386
6.66 IPS |
|
|
Machine Translation (Q)
|
60% |
1449
32.3 IPS |
