Mac mini (2024)
Geekbench AI Score
10772
Single Precision Score
12630
Half Precision Score
11663
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | Magic |
| Upload Date | January 15 2026 09:19 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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% |
4979
925.9 IPS |
|
|
Image Classification (HP)
|
100% |
5395
1.00 KIPS |
|
|
Image Classification (Q)
|
96% |
4837
903.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
7748
125.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
8705
141.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
8332
135.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
29351
34.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
33581
39.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
32691
38.3 IPS |
|
|
Object Detection (SP)
|
100% |
5045
400.2 IPS |
|
|
Object Detection (HP)
|
100% |
5677
450.3 IPS |
|
|
Object Detection (Q)
|
92% |
5223
416.9 IPS |
|
|
Face Detection (SP)
|
100% |
13088
155.5 IPS |
|
|
Face Detection (HP)
|
100% |
17839
212.0 IPS |
|
|
Face Detection (Q)
|
100% |
14240
169.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
22185
170.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
24869
191.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
22850
178.5 IPS |
|
|
Style Transfer (SP)
|
100% |
58885
75.7 IPS |
|
|
Style Transfer (HP)
|
100% |
74137
95.3 IPS |
|
|
Style Transfer (Q)
|
96% |
71467
92.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12840
474.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13369
493.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11526
425.6 IPS |
|
|
Text Classification (SP)
|
100% |
3418
4.56 KIPS |
|
|
Text Classification (HP)
|
99% |
5669
7.57 KIPS |
|
|
Text Classification (Q)
|
93% |
5538
7.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
4909
84.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4629
79.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4563
78.8 IPS |
