ZOTAC ZBOX-ZBOX-CI671NANO/CI651NANO
Geekbench ML Score
1903
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | May 07 2024 01:24 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ZOTAC ZBOX-ZBOX-CI671NANO/CI651NANO |
| Motherboard | ZOTAC ZBOX-ZBOX-CI671NANO/CI651NANO |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 125U |
| Topology | 1 Processor, 12 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 10 Cores |
| L1 Instruction Cache | 64.0 KB x 7 |
| L1 Data Cache | 48.0 KB x 7 |
| L2 Cache | 2.00 MB x 1 |
| L3 Cache | 12.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1085
203.0 IPS |
|
|
Image Classification (F16)
|
100% |
1052
196.9 IPS |
|
|
Image Classification (I8)
|
100% |
898
168.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1207
20.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1280
21.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
1002
16.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
7210
8.73 IPS |
|
|
Pose Estimation (F16)
|
100% |
7243
8.77 IPS |
|
|
Pose Estimation (I8)
|
100% |
5579
6.76 IPS |
|
|
Object Detection (F32)
|
100% |
1175
87.7 IPS |
|
|
Object Detection (F16)
|
100% |
1176
87.8 IPS |
|
|
Object Detection (I8)
|
54% |
959
71.6 IPS |
|
|
Face Detection (F32)
|
100% |
1799
21.4 IPS |
|
|
Face Detection (F16)
|
100% |
1802
21.4 IPS |
|
|
Face Detection (I8)
|
89% |
1269
15.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
4482
34.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
4436
34.4 IPS |
|
|
Depth Estimation (I8)
|
95% |
3570
27.7 IPS |
|
|
Style Transfer (F32)
|
100% |
19145
25.2 IPS |
|
|
Style Transfer (F16)
|
100% |
19220
25.3 IPS |
|
|
Style Transfer (I8)
|
98% |
14024
18.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3434
122.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3399
121.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
1977
70.6 IPS |
|
|
Text Classification (F32)
|
90% |
397
570.9 IPS |
|
|
Text Classification (F16)
|
90% |
385
552.9 IPS |
|
|
Text Classification (I8)
|
90% |
298
428.7 IPS |
|
|
Machine Translation (F32)
|
100% |
721
13.3 IPS |
|
|
Machine Translation (F16)
|
100% |
724
13.3 IPS |
|
|
Machine Translation (I8)
|
70% |
478
8.79 IPS |
