ZOTAC ZBOX-ECM73070C/53060C
Geekbench AI Score
1419
Single Precision Score
1420
Half Precision Score
2077
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | oleker |
| Upload Date | August 18 2024 06:53 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-10700F CPU @ 2.90GHz |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | ZOTAC ZBOX-ECM73070C/53060C |
| Motherboard | ZOTAC ZBOX-ECM73070C/53060C |
| CPU Information | |
|---|---|
| Name | Intel Core i7-10700F |
| Topology | 1 Processor, 3 Cores, 6 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 5 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
855
159.0 IPS |
|
|
Image Classification (HP)
|
100% |
864
160.6 IPS |
|
|
Image Classification (Q)
|
100% |
1265
235.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
937
15.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
934
15.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1350
21.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1590
1.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
1564
1.82 IPS |
|
|
Pose Estimation (Q)
|
94% |
3080
3.61 IPS |
|
|
Object Detection (SP)
|
100% |
793
62.9 IPS |
|
|
Object Detection (HP)
|
100% |
814
64.6 IPS |
|
|
Object Detection (Q)
|
87% |
1301
104.4 IPS |
|
|
Face Detection (SP)
|
100% |
2340
27.8 IPS |
|
|
Face Detection (HP)
|
100% |
2326
27.6 IPS |
|
|
Face Detection (Q)
|
97% |
3356
40.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2109
16.2 IPS |
|
|
Depth Estimation (HP)
|
100% |
2140
16.5 IPS |
|
|
Depth Estimation (Q)
|
79% |
3124
24.8 IPS |
|
|
Style Transfer (SP)
|
100% |
4734
6.09 IPS |
|
|
Style Transfer (HP)
|
100% |
4758
6.12 IPS |
|
|
Style Transfer (Q)
|
98% |
8814
11.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
982
36.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
974
36.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1793
66.4 IPS |
|
|
Text Classification (SP)
|
100% |
905
1.21 KIPS |
|
|
Text Classification (HP)
|
100% |
894
1.19 KIPS |
|
|
Text Classification (Q)
|
91% |
781
1.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
1587
27.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1582
27.2 IPS |
|
|
Machine Translation (Q)
|
90% |
1693
29.4 IPS |
