Apple Inc. Macmini8,1
Geekbench AI Score
930
Single Precision Score
1095
Half Precision Score
747
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Chris Sack |
| Upload Date | May 17 2025 07:45 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 630 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | Apple Inc. Macmini8,1 |
| Motherboard | Apple Inc. Mac-7BA5B2DFE22DDD8C |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-8500B |
| Topology | 1 Processor, 6 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
417
77.6 IPS |
|
|
Image Classification (HP)
|
100% |
488
90.7 IPS |
|
|
Image Classification (Q)
|
100% |
398
74.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
566
9.18 IPS |
|
|
Image Segmentation (HP)
|
100% |
675
11.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
476
7.74 IPS |
|
|
Pose Estimation (SP)
|
100% |
2257
2.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
3609
4.21 IPS |
|
|
Pose Estimation (Q)
|
97% |
2034
2.38 IPS |
|
|
Object Detection (SP)
|
100% |
478
37.9 IPS |
|
|
Object Detection (HP)
|
98% |
489
38.9 IPS |
|
|
Object Detection (Q)
|
86% |
437
35.1 IPS |
|
|
Face Detection (SP)
|
100% |
842
10.0 IPS |
|
|
Face Detection (HP)
|
100% |
1072
12.7 IPS |
|
|
Face Detection (Q)
|
97% |
719
8.58 IPS |
|
|
Depth Estimation (SP)
|
100% |
1697
13.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
2111
16.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
1448
11.6 IPS |
|
|
Style Transfer (SP)
|
100% |
5775
7.42 IPS |
|
|
Style Transfer (HP)
|
100% |
8699
11.2 IPS |
|
|
Style Transfer (Q)
|
98% |
4857
6.26 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1147
42.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1626
60.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
874
32.4 IPS |
|
|
Text Classification (SP)
|
100% |
457
610.0 IPS |
|
|
Text Classification (HP)
|
100% |
295
393.1 IPS |
|
|
Text Classification (Q)
|
97% |
280
375.5 IPS |
|
|
Machine Translation (SP)
|
100% |
442
7.61 IPS |
|
|
Machine Translation (HP)
|
100% |
455
7.83 IPS |
|
|
Machine Translation (Q)
|
70% |
263
4.93 IPS |
