GEEKOM XT13 Pro
Geekbench ML Score
2897
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 12 2025 01:02 PM |
| Views | 11 |
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% |
1448
271.0 IPS |
|
|
Image Classification (F16)
|
100% |
1444
270.2 IPS |
|
|
Image Classification (I8)
|
99% |
2674
500.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1361
22.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1318
22.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
2437
40.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
4920
5.96 IPS |
|
|
Pose Estimation (F16)
|
100% |
4928
5.97 IPS |
|
|
Pose Estimation (I8)
|
100% |
14852
18.0 IPS |
|
|
Object Detection (F32)
|
100% |
1417
105.8 IPS |
|
|
Object Detection (F16)
|
100% |
1426
106.5 IPS |
|
|
Object Detection (I8)
|
62% |
1441
107.6 IPS |
|
|
Face Detection (F32)
|
100% |
2714
32.3 IPS |
|
|
Face Detection (F16)
|
100% |
2856
34.0 IPS |
|
|
Face Detection (I8)
|
89% |
3514
41.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
5709
44.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
5890
45.7 IPS |
|
|
Depth Estimation (I8)
|
96% |
10269
79.6 IPS |
|
|
Style Transfer (F32)
|
100% |
11856
15.6 IPS |
|
|
Style Transfer (F16)
|
100% |
11989
15.8 IPS |
|
|
Style Transfer (I8)
|
98% |
17187
22.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2389
85.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2643
94.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3697
132.0 IPS |
|
|
Text Classification (F32)
|
100% |
1024
1.47 KIPS |
|
|
Text Classification (F16)
|
100% |
1111
1.60 KIPS |
|
|
Text Classification (I8)
|
98% |
925
1.33 KIPS |
|
|
Machine Translation (F32)
|
100% |
1565
28.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1447
26.6 IPS |
|
|
Machine Translation (I8)
|
67% |
2211
40.7 IPS |
