Apple Inc. Macmini8,1
Geekbench AI Score
2037
Single Precision Score
944
Half Precision Score
2475
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Chris Sack |
| Upload Date | May 17 2025 07:39 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-8500B |
| 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% |
1751
325.6 IPS |
|
|
Image Classification (HP)
|
100% |
335
62.2 IPS |
|
|
Image Classification (Q)
|
96% |
2639
492.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
821
13.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
506
8.20 IPS |
|
|
Image Segmentation (Q)
|
97% |
1424
23.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3325
3.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
2865
3.34 IPS |
|
|
Pose Estimation (Q)
|
86% |
6143
7.26 IPS |
|
|
Object Detection (SP)
|
100% |
1547
122.7 IPS |
|
|
Object Detection (HP)
|
100% |
420
33.3 IPS |
|
|
Object Detection (Q)
|
58% |
1597
174.5 IPS |
|
|
Face Detection (SP)
|
100% |
2014
23.9 IPS |
|
|
Face Detection (HP)
|
100% |
815
9.68 IPS |
|
|
Face Detection (Q)
|
96% |
4183
49.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4250
32.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1284
9.90 IPS |
|
|
Depth Estimation (Q)
|
78% |
5783
46.1 IPS |
|
|
Style Transfer (SP)
|
100% |
8069
10.4 IPS |
|
|
Style Transfer (HP)
|
100% |
6684
8.59 IPS |
|
|
Style Transfer (Q)
|
87% |
8184
10.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1514
55.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1308
48.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1970
73.0 IPS |
|
|
Text Classification (SP)
|
100% |
1230
1.64 KIPS |
|
|
Text Classification (HP)
|
100% |
600
801.4 IPS |
|
|
Text Classification (Q)
|
97% |
403
539.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1295
22.3 IPS |
|
|
Machine Translation (HP)
|
100% |
504
8.68 IPS |
|
|
Machine Translation (Q)
|
68% |
1493
28.8 IPS |
