Mac mini (2024)
Geekbench AI Score
4811
Single Precision Score
7864
Half Precision Score
6371
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | April 21 2025 07:53 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| Model | Mac mini (2024) |
| Model ID | Mac16,10 |
| Motherboard | Mac16,10 |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M4 |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2103
391.1 IPS |
|
|
Image Classification (HP)
|
100% |
3341
621.4 IPS |
|
|
Image Classification (Q)
|
96% |
2342
437.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2172
35.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3204
51.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3688
59.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9880
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
19182
22.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
16576
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2459
195.1 IPS |
|
|
Object Detection (HP)
|
97% |
3754
298.9 IPS |
|
|
Object Detection (Q)
|
94% |
2721
216.9 IPS |
|
|
Face Detection (SP)
|
100% |
4219
50.1 IPS |
|
|
Face Detection (HP)
|
100% |
7423
88.2 IPS |
|
|
Face Detection (Q)
|
100% |
4458
53.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8673
66.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14658
113.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10246
80.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21163
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
38236
49.2 IPS |
|
|
Style Transfer (Q)
|
96% |
31719
40.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6003
221.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7094
262.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4985
184.1 IPS |
|
|
Text Classification (SP)
|
100% |
2946
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
5552
7.41 KIPS |
|
|
Text Classification (Q)
|
93% |
5526
7.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
4372
75.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7165
123.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7088
122.5 IPS |
