GEEKOM Mini IT13
Geekbench ML Score
3039
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 13 2024 03:19 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | GEEKOM Mini IT13 |
| Motherboard | Default string Default string |
| 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% |
1618
302.8 IPS |
|
|
Image Classification (F16)
|
100% |
1619
303.0 IPS |
|
|
Image Classification (I8)
|
99% |
3107
581.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1497
25.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1502
25.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
2232
37.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
5489
6.65 IPS |
|
|
Pose Estimation (F16)
|
100% |
5547
6.72 IPS |
|
|
Pose Estimation (I8)
|
100% |
19501
23.6 IPS |
|
|
Object Detection (F32)
|
100% |
1585
118.3 IPS |
|
|
Object Detection (F16)
|
100% |
1542
115.1 IPS |
|
|
Object Detection (I8)
|
62% |
1516
113.2 IPS |
|
|
Face Detection (F32)
|
100% |
2719
32.3 IPS |
|
|
Face Detection (F16)
|
100% |
2711
32.2 IPS |
|
|
Face Detection (I8)
|
89% |
3547
42.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
6006
46.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
6188
48.0 IPS |
|
|
Depth Estimation (I8)
|
96% |
11512
89.3 IPS |
|
|
Style Transfer (F32)
|
100% |
12837
16.9 IPS |
|
|
Style Transfer (F16)
|
100% |
13113
17.2 IPS |
|
|
Style Transfer (I8)
|
98% |
17008
22.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2829
101.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2889
103.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3696
132.0 IPS |
|
|
Text Classification (F32)
|
100% |
1251
1.80 KIPS |
|
|
Text Classification (F16)
|
100% |
1261
1.81 KIPS |
|
|
Text Classification (I8)
|
98% |
409
588.4 IPS |
|
|
Machine Translation (F32)
|
100% |
1564
28.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1547
28.5 IPS |
|
|
Machine Translation (I8)
|
67% |
2239
41.2 IPS |
