Mac mini (2024)
Geekbench AI Score
4844
Single Precision Score
7891
Half Precision Score
6347
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | calvinh |
| Upload Date | January 16 2026 07:49 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.7.3 (Build 24G419) |
| 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% |
2110
392.4 IPS |
|
|
Image Classification (HP)
|
100% |
3298
613.4 IPS |
|
|
Image Classification (Q)
|
96% |
2325
434.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2155
34.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3170
51.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3598
58.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9992
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19418
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16764
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
2469
195.8 IPS |
|
|
Object Detection (HP)
|
97% |
3830
304.9 IPS |
|
|
Object Detection (Q)
|
94% |
2747
218.9 IPS |
|
|
Face Detection (SP)
|
100% |
4332
51.5 IPS |
|
|
Face Detection (HP)
|
100% |
7761
92.2 IPS |
|
|
Face Detection (Q)
|
100% |
4489
53.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8732
67.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14663
113.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10329
80.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21321
27.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38625
49.7 IPS |
|
|
Style Transfer (Q)
|
96% |
32113
41.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6019
222.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7018
259.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4976
183.7 IPS |
|
|
Text Classification (SP)
|
100% |
2973
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
5418
7.23 KIPS |
|
|
Text Classification (Q)
|
93% |
5326
7.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
4401
75.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7205
124.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6990
120.8 IPS |
