ZOTAC ZBOX-ECM73070C/7307LH/53060C
Geekbench AI Score
2794
Single Precision Score
698
Half Precision Score
2867
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | groosheck |
| Upload Date | August 15 2024 05:37 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-10700 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ZOTAC ZBOX-ECM73070C/7307LH/53060C |
| Motherboard | ZOTAC ZBOX-ECM73070C/7307LH/53060C |
| Power Plan | Wysoka wydajno |
| CPU Information | |
|---|---|
| Name | Intel Core i7-10700 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 5 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1863
346.5 IPS |
|
|
Image Classification (HP)
|
100% |
136
25.2 IPS |
|
|
Image Classification (Q)
|
97% |
2680
500.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1341
21.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
219
3.56 IPS |
|
|
Image Segmentation (Q)
|
97% |
1710
27.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4446
5.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
3619
4.22 IPS |
|
|
Pose Estimation (Q)
|
87% |
10021
11.8 IPS |
|
|
Object Detection (SP)
|
100% |
2008
159.2 IPS |
|
|
Object Detection (HP)
|
100% |
179
14.2 IPS |
|
|
Object Detection (Q)
|
86% |
1756
141.2 IPS |
|
|
Face Detection (SP)
|
100% |
2025
24.1 IPS |
|
|
Face Detection (HP)
|
100% |
249
2.95 IPS |
|
|
Face Detection (Q)
|
96% |
3333
39.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6172
47.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
814
6.27 IPS |
|
|
Depth Estimation (Q)
|
76% |
5546
44.7 IPS |
|
|
Style Transfer (SP)
|
100% |
14111
18.1 IPS |
|
|
Style Transfer (HP)
|
100% |
10716
13.8 IPS |
|
|
Style Transfer (Q)
|
87% |
13108
17.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2466
91.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1961
72.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2840
105.2 IPS |
|
|
Text Classification (SP)
|
100% |
1711
2.28 KIPS |
|
|
Text Classification (HP)
|
100% |
659
879.5 IPS |
|
|
Text Classification (Q)
|
97% |
437
584.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1752
30.2 IPS |
|
|
Machine Translation (HP)
|
100% |
510
8.79 IPS |
|
|
Machine Translation (Q)
|
60% |
1548
34.5 IPS |
