ZOTAC ZBOX-ZBOX-CI671NANO/CI651NANO
Geekbench ML Score
2102
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | May 07 2024 01:19 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 14 |
| L1 Data Cache | 32.0 KB x 14 |
| 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1124
210.3 IPS |
|
|
Image Classification (F16)
|
100% |
1093
204.5 IPS |
|
|
Image Classification (I8)
|
99% |
2141
400.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
912
15.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
742
12.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
1932
32.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
3166
3.83 IPS |
|
|
Pose Estimation (F16)
|
100% |
3025
3.66 IPS |
|
|
Pose Estimation (I8)
|
100% |
12001
14.5 IPS |
|
|
Object Detection (F32)
|
100% |
1188
88.7 IPS |
|
|
Object Detection (F16)
|
100% |
1104
82.4 IPS |
|
|
Object Detection (I8)
|
62% |
1186
88.6 IPS |
|
|
Face Detection (F32)
|
100% |
2036
24.2 IPS |
|
|
Face Detection (F16)
|
100% |
1813
21.6 IPS |
|
|
Face Detection (I8)
|
89% |
2499
29.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
3686
28.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
3618
28.1 IPS |
|
|
Depth Estimation (I8)
|
96% |
8921
69.2 IPS |
|
|
Style Transfer (F32)
|
100% |
7893
10.4 IPS |
|
|
Style Transfer (F16)
|
100% |
7546
9.93 IPS |
|
|
Style Transfer (I8)
|
98% |
12097
15.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1853
66.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1741
62.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3254
116.2 IPS |
|
|
Text Classification (F32)
|
100% |
1008
1.45 KIPS |
|
|
Text Classification (F16)
|
100% |
983
1.41 KIPS |
|
|
Text Classification (I8)
|
98% |
387
555.5 IPS |
|
|
Machine Translation (F32)
|
100% |
1245
22.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1038
19.1 IPS |
|
|
Machine Translation (I8)
|
67% |
1907
35.1 IPS |
