Mac mini (2024)
Geekbench AI Score
14517
Single Precision Score
15757
Half Precision Score
14244
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | October 23 2025 10:09 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| Model | Mac mini (2024) |
| Model ID | Mac16,11 |
| Motherboard | Mac16,11 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7350
1.37 KIPS |
|
|
Image Classification (HP)
|
100% |
8060
1.50 KIPS |
|
|
Image Classification (Q)
|
96% |
7057
1.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12614
204.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
12851
208.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
12476
202.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
46490
54.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
48429
56.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
47164
55.3 IPS |
|
|
Object Detection (SP)
|
100% |
6648
527.3 IPS |
|
|
Object Detection (HP)
|
100% |
7474
592.8 IPS |
|
|
Object Detection (Q)
|
92% |
6871
548.5 IPS |
|
|
Face Detection (SP)
|
100% |
23502
279.3 IPS |
|
|
Face Detection (HP)
|
100% |
25809
306.7 IPS |
|
|
Face Detection (Q)
|
100% |
21295
253.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
31308
241.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
33128
255.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
30290
236.8 IPS |
|
|
Style Transfer (SP)
|
100% |
105202
135.2 IPS |
|
|
Style Transfer (HP)
|
100% |
113847
146.4 IPS |
|
|
Style Transfer (Q)
|
96% |
111137
143.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17318
639.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17841
658.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16332
603.1 IPS |
|
|
Text Classification (SP)
|
100% |
2921
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
5395
7.20 KIPS |
|
|
Text Classification (Q)
|
93% |
5429
7.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
3705
63.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2687
46.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1897
32.8 IPS |
