ZOTAC ZBOX-MI527/MI547
Geekbench AI Score
609
Single Precision Score
373
Half Precision Score
740
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | beamwalker |
| Upload Date | July 01 2025 08:17 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-7200U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | ZOTAC ZBOX-MI527/MI547 |
| Motherboard | ZOTAC ZBOX-MI527/MI547 |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core i5-7200U |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 9 |
| Base Frequency | 2.71 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
575
106.9 IPS |
|
|
Image Classification (HP)
|
100% |
229
42.6 IPS |
|
|
Image Classification (Q)
|
96% |
882
164.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
354
5.74 IPS |
|
|
Image Segmentation (HP)
|
100% |
288
4.66 IPS |
|
|
Image Segmentation (Q)
|
97% |
656
10.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1088
1.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
790
0.92 IPS |
|
|
Pose Estimation (Q)
|
86% |
1690
2.00 IPS |
|
|
Object Detection (SP)
|
100% |
508
40.3 IPS |
|
|
Object Detection (HP)
|
100% |
239
19.0 IPS |
|
|
Object Detection (Q)
|
58% |
433
47.3 IPS |
|
|
Face Detection (SP)
|
100% |
958
11.4 IPS |
|
|
Face Detection (HP)
|
100% |
468
5.56 IPS |
|
|
Face Detection (Q)
|
96% |
678
8.08 IPS |
|
|
Depth Estimation (SP)
|
100% |
752
5.80 IPS |
|
|
Depth Estimation (HP)
|
99% |
531
4.09 IPS |
|
|
Depth Estimation (Q)
|
78% |
1529
12.2 IPS |
|
|
Style Transfer (SP)
|
100% |
1805
2.32 IPS |
|
|
Style Transfer (HP)
|
100% |
1480
1.90 IPS |
|
|
Style Transfer (Q)
|
87% |
2453
3.19 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
422
15.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
355
13.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
611
22.7 IPS |
|
|
Text Classification (SP)
|
100% |
311
414.8 IPS |
|
|
Text Classification (HP)
|
100% |
192
256.6 IPS |
|
|
Text Classification (Q)
|
97% |
172
230.0 IPS |
|
|
Machine Translation (SP)
|
100% |
369
6.36 IPS |
|
|
Machine Translation (HP)
|
100% |
167
2.88 IPS |
|
|
Machine Translation (Q)
|
68% |
441
8.51 IPS |
