GEEKOM XT13 Pro
Geekbench ML Score
2382
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 26 2024 10:26 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 | DirectML |
| Device | Intel(R) Iris(R) Xe Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1226
229.4 IPS |
|
|
Image Classification (F16)
|
100% |
1183
221.4 IPS |
|
|
Image Classification (I8)
|
100% |
954
178.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1872
31.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1760
29.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
1304
21.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
9762
11.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
9880
12.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
5481
6.64 IPS |
|
|
Object Detection (F32)
|
100% |
1053
78.6 IPS |
|
|
Object Detection (F16)
|
100% |
1038
77.5 IPS |
|
|
Object Detection (I8)
|
54% |
875
65.3 IPS |
|
|
Face Detection (F32)
|
100% |
2698
32.1 IPS |
|
|
Face Detection (F16)
|
100% |
2666
31.7 IPS |
|
|
Face Detection (I8)
|
89% |
1789
21.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
6032
46.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
6012
46.6 IPS |
|
|
Depth Estimation (I8)
|
95% |
4311
33.4 IPS |
|
|
Style Transfer (F32)
|
100% |
26509
34.9 IPS |
|
|
Style Transfer (F16)
|
100% |
26616
35.0 IPS |
|
|
Style Transfer (I8)
|
98% |
16814
22.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3677
131.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3654
130.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
1600
57.1 IPS |
|
|
Text Classification (F32)
|
100% |
866
1.24 KIPS |
|
|
Text Classification (F16)
|
100% |
876
1.26 KIPS |
|
|
Text Classification (I8)
|
98% |
498
716.4 IPS |
|
|
Machine Translation (F32)
|
100% |
815
15.0 IPS |
|
|
Machine Translation (F16)
|
100% |
826
15.2 IPS |
|
|
Machine Translation (I8)
|
70% |
519
9.55 IPS |
