ZOTAC ZBOX-ECM73070C/7307LH/53060C
Geekbench AI Score
4243
Single Precision Score
4139
Half Precision Score
6383
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | groosheck |
| Upload Date | August 15 2024 05:39 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-10700 CPU @ 2.90GHz |
| 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% |
3061
569.2 IPS |
|
|
Image Classification (HP)
|
100% |
3093
575.1 IPS |
|
|
Image Classification (Q)
|
100% |
4753
884.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2901
47.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2935
47.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4411
71.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6421
7.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
5013
5.85 IPS |
|
|
Pose Estimation (Q)
|
94% |
12046
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
2784
220.8 IPS |
|
|
Object Detection (HP)
|
100% |
2751
218.2 IPS |
|
|
Object Detection (Q)
|
87% |
4267
342.2 IPS |
|
|
Face Detection (SP)
|
100% |
4979
59.2 IPS |
|
|
Face Detection (HP)
|
100% |
4931
58.6 IPS |
|
|
Face Detection (Q)
|
97% |
12807
152.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8036
61.9 IPS |
|
|
Depth Estimation (HP)
|
100% |
7634
58.8 IPS |
|
|
Depth Estimation (Q)
|
79% |
13094
103.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17428
22.4 IPS |
|
|
Style Transfer (HP)
|
100% |
18432
23.7 IPS |
|
|
Style Transfer (Q)
|
98% |
32903
42.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3692
136.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3578
132.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
7628
282.6 IPS |
|
|
Text Classification (SP)
|
100% |
1281
1.71 KIPS |
|
|
Text Classification (HP)
|
100% |
1300
1.74 KIPS |
|
|
Text Classification (Q)
|
91% |
1050
1.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
3621
62.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3654
62.9 IPS |
|
|
Machine Translation (Q)
|
90% |
2360
41.0 IPS |
