Mac mini (2024)
Geekbench AI Score
5407
Single Precision Score
9095
Half Precision Score
7011
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | RG22032 |
| Upload Date | February 12 2026 11:56 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.7.4 (Build 24G517) |
| 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 | 4.50 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2070
385.0 IPS |
|
|
Image Classification (HP)
|
100% |
3035
564.3 IPS |
|
|
Image Classification (Q)
|
96% |
2156
402.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2271
36.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3339
54.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3918
63.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
17351
20.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
32725
38.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
24781
29.0 IPS |
|
|
Object Detection (SP)
|
100% |
2500
198.3 IPS |
|
|
Object Detection (HP)
|
97% |
3802
302.7 IPS |
|
|
Object Detection (Q)
|
94% |
2658
211.8 IPS |
|
|
Face Detection (SP)
|
100% |
4748
56.4 IPS |
|
|
Face Detection (HP)
|
100% |
8062
95.8 IPS |
|
|
Face Detection (Q)
|
100% |
4723
56.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8659
66.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
15046
116.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10588
82.6 IPS |
|
|
Style Transfer (SP)
|
100% |
25612
32.9 IPS |
|
|
Style Transfer (HP)
|
100% |
52630
67.7 IPS |
|
|
Style Transfer (Q)
|
96% |
40375
52.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5973
220.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10048
371.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5563
205.4 IPS |
|
|
Text Classification (SP)
|
100% |
2903
3.88 KIPS |
|
|
Text Classification (HP)
|
100% |
5249
7.01 KIPS |
|
|
Text Classification (Q)
|
93% |
5126
6.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
5737
98.8 IPS |
|
|
Machine Translation (HP)
|
98% |
9123
157.6 IPS |
|
|
Machine Translation (Q)
|
98% |
8966
154.9 IPS |
