Mac mini (2024)
Geekbench AI Score
4987
Single Precision Score
8077
Half Precision Score
6513
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| Upload Date | February 06 2026 11:31 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 4.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2121
394.5 IPS |
|
|
Image Classification (HP)
|
100% |
3400
632.2 IPS |
|
|
Image Classification (Q)
|
96% |
2364
441.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2077
33.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3128
50.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3540
57.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10088
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19447
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16776
19.7 IPS |
|
|
Object Detection (SP)
|
100% |
2493
197.7 IPS |
|
|
Object Detection (HP)
|
97% |
3824
304.4 IPS |
|
|
Object Detection (Q)
|
94% |
2754
219.5 IPS |
|
|
Face Detection (SP)
|
100% |
4354
51.7 IPS |
|
|
Face Detection (HP)
|
100% |
7865
93.5 IPS |
|
|
Face Detection (Q)
|
100% |
4554
54.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8637
66.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
14200
109.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10052
78.5 IPS |
|
|
Style Transfer (SP)
|
100% |
24508
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
39155
50.3 IPS |
|
|
Style Transfer (Q)
|
96% |
32148
41.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6057
223.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7267
268.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4949
182.7 IPS |
|
|
Text Classification (SP)
|
100% |
3401
4.54 KIPS |
|
|
Text Classification (HP)
|
99% |
5850
7.81 KIPS |
|
|
Text Classification (Q)
|
93% |
5989
8.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
4527
78.0 IPS |
|
|
Machine Translation (HP)
|
98% |
8042
139.0 IPS |
|
|
Machine Translation (Q)
|
98% |
8147
140.8 IPS |
