GEEKOM XT13 Pro
Geekbench ML Score
2792
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 26 2024 10:22 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | GEEKOM XT13 Pro |
| Motherboard | Default string XT13 Pro |
| Power Plan | Balanced |
| 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 |
| L1 Instruction Cache | 32.0 KB x 10 |
| L1 Data Cache | 48.0 KB x 10 |
| L2 Cache | 1.25 MB x 2 |
| L3 Cache | 24.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1509
282.5 IPS |
|
|
Image Classification (F16)
|
100% |
1502
281.0 IPS |
|
|
Image Classification (I8)
|
99% |
2809
525.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1412
23.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1431
23.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
2049
34.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
4851
5.87 IPS |
|
|
Pose Estimation (F16)
|
100% |
5127
6.21 IPS |
|
|
Pose Estimation (I8)
|
100% |
15980
19.4 IPS |
|
|
Object Detection (F32)
|
100% |
1459
108.9 IPS |
|
|
Object Detection (F16)
|
100% |
1441
107.6 IPS |
|
|
Object Detection (I8)
|
62% |
1446
107.9 IPS |
|
|
Face Detection (F32)
|
100% |
2872
34.1 IPS |
|
|
Face Detection (F16)
|
100% |
2870
34.1 IPS |
|
|
Face Detection (I8)
|
89% |
3514
41.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
6004
46.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
5991
46.5 IPS |
|
|
Depth Estimation (I8)
|
96% |
10788
83.7 IPS |
|
|
Style Transfer (F32)
|
100% |
12184
16.0 IPS |
|
|
Style Transfer (F16)
|
100% |
12352
16.2 IPS |
|
|
Style Transfer (I8)
|
98% |
9768
12.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2323
83.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2470
88.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3498
124.9 IPS |
|
|
Text Classification (F32)
|
100% |
1191
1.71 KIPS |
|
|
Text Classification (F16)
|
100% |
1164
1.67 KIPS |
|
|
Text Classification (I8)
|
98% |
347
499.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1488
27.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1498
27.6 IPS |
|
|
Machine Translation (I8)
|
67% |
2124
39.1 IPS |
