Mac mini (2024)
Geekbench AI Score
17155
Single Precision Score
19372
Half Precision Score
17884
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | mkennedy |
| Upload Date | December 28 2025 11:59 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| Model | Mac mini (2024) |
| Model ID | Mac16,11 |
| Motherboard | Mac16,11 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8140
1.51 KIPS |
|
|
Image Classification (HP)
|
100% |
8475
1.58 KIPS |
|
|
Image Classification (Q)
|
96% |
7671
1.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14286
231.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
15025
243.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
14788
239.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
54427
63.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
59631
69.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
57209
67.0 IPS |
|
|
Object Detection (SP)
|
100% |
7515
596.1 IPS |
|
|
Object Detection (HP)
|
100% |
7279
577.3 IPS |
|
|
Object Detection (Q)
|
92% |
7042
562.1 IPS |
|
|
Face Detection (SP)
|
100% |
26217
311.5 IPS |
|
|
Face Detection (HP)
|
100% |
30103
357.7 IPS |
|
|
Face Detection (Q)
|
100% |
25078
298.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
33767
260.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
36464
280.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
32585
254.5 IPS |
|
|
Style Transfer (SP)
|
100% |
120344
154.7 IPS |
|
|
Style Transfer (HP)
|
100% |
136347
175.3 IPS |
|
|
Style Transfer (Q)
|
96% |
134225
173.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20715
764.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24296
897.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18543
684.7 IPS |
|
|
Text Classification (SP)
|
100% |
3579
4.78 KIPS |
|
|
Text Classification (HP)
|
99% |
5797
7.74 KIPS |
|
|
Text Classification (Q)
|
93% |
5773
7.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
5877
101.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6390
110.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6238
107.8 IPS |
