Mac mini (2024)
Geekbench AI Score
4954
Single Precision Score
8027
Half Precision Score
6418
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | December 16 2025 04:57 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% |
2122
394.6 IPS |
|
|
Image Classification (HP)
|
100% |
3395
631.4 IPS |
|
|
Image Classification (Q)
|
96% |
2360
440.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2083
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3191
51.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3544
57.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9941
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19375
22.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16730
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
2469
195.9 IPS |
|
|
Object Detection (HP)
|
97% |
3816
303.8 IPS |
|
|
Object Detection (Q)
|
94% |
2749
219.1 IPS |
|
|
Face Detection (SP)
|
100% |
4341
51.6 IPS |
|
|
Face Detection (HP)
|
100% |
7905
93.9 IPS |
|
|
Face Detection (Q)
|
100% |
4586
54.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8676
66.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14151
109.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
10027
78.3 IPS |
|
|
Style Transfer (SP)
|
100% |
24292
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
39164
50.3 IPS |
|
|
Style Transfer (Q)
|
96% |
32284
41.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5998
221.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7256
267.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4945
182.6 IPS |
|
|
Text Classification (SP)
|
100% |
3305
4.41 KIPS |
|
|
Text Classification (HP)
|
99% |
5821
7.77 KIPS |
|
|
Text Classification (Q)
|
93% |
5808
7.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
4530
78.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7493
129.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7239
125.1 IPS |
