ZOTAC ZBOX-EN374070C
Geekbench ML Score
2828
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | June 02 2025 05:03 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home N (64-bit) |
| Model | ZOTAC ZBOX-EN374070C |
| Motherboard | ZOTAC ZBOX-EN374070C |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700HX |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 2 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 12 |
| L1 Data Cache | 48.0 KB x 12 |
| L2 Cache | 1.25 MB x 3 |
| L3 Cache | 30.0 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% |
1419
265.5 IPS |
|
|
Image Classification (F16)
|
100% |
1451
271.5 IPS |
|
|
Image Classification (I8)
|
99% |
2698
504.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1338
22.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1328
22.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
2145
35.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
5071
6.14 IPS |
|
|
Pose Estimation (F16)
|
100% |
4985
6.04 IPS |
|
|
Pose Estimation (I8)
|
100% |
17245
20.9 IPS |
|
|
Object Detection (F32)
|
100% |
1406
105.0 IPS |
|
|
Object Detection (F16)
|
100% |
1353
101.0 IPS |
|
|
Object Detection (I8)
|
62% |
1323
98.8 IPS |
|
|
Face Detection (F32)
|
100% |
2639
31.4 IPS |
|
|
Face Detection (F16)
|
100% |
2580
30.7 IPS |
|
|
Face Detection (I8)
|
89% |
3071
36.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
5602
43.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
6027
46.7 IPS |
|
|
Depth Estimation (I8)
|
96% |
10285
79.8 IPS |
|
|
Style Transfer (F32)
|
100% |
11881
15.6 IPS |
|
|
Style Transfer (F16)
|
100% |
12003
15.8 IPS |
|
|
Style Transfer (I8)
|
98% |
14942
19.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2625
93.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2602
92.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3604
128.7 IPS |
|
|
Text Classification (F32)
|
100% |
1013
1.46 KIPS |
|
|
Text Classification (F16)
|
100% |
1044
1.50 KIPS |
|
|
Text Classification (I8)
|
98% |
819
1.18 KIPS |
|
|
Machine Translation (F32)
|
100% |
1435
26.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1459
26.8 IPS |
|
|
Machine Translation (I8)
|
67% |
2200
40.5 IPS |
