Mac mini (2024)
Geekbench AI Score
5387
Single Precision Score
9108
Half Precision Score
7053
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | DaGloom |
| Upload Date | February 12 2026 01:30 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.7.3 (Build 24G419) |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2074
385.6 IPS |
|
|
Image Classification (HP)
|
100% |
3037
564.7 IPS |
|
|
Image Classification (Q)
|
96% |
2174
406.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2268
36.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3531
57.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3916
63.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
17419
20.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
32701
38.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
24840
29.1 IPS |
|
|
Object Detection (SP)
|
100% |
2472
196.1 IPS |
|
|
Object Detection (HP)
|
97% |
3816
303.8 IPS |
|
|
Object Detection (Q)
|
94% |
2656
211.7 IPS |
|
|
Face Detection (SP)
|
100% |
4701
55.9 IPS |
|
|
Face Detection (HP)
|
100% |
8065
95.8 IPS |
|
|
Face Detection (Q)
|
100% |
4688
55.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8626
66.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
14941
115.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10321
80.6 IPS |
|
|
Style Transfer (SP)
|
100% |
25554
32.8 IPS |
|
|
Style Transfer (HP)
|
100% |
51856
66.7 IPS |
|
|
Style Transfer (Q)
|
96% |
40451
52.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5968
220.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10014
369.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5720
211.2 IPS |
|
|
Text Classification (SP)
|
100% |
2899
3.87 KIPS |
|
|
Text Classification (HP)
|
100% |
5173
6.90 KIPS |
|
|
Text Classification (Q)
|
93% |
5336
7.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
5670
97.7 IPS |
|
|
Machine Translation (HP)
|
98% |
9079
156.9 IPS |
|
|
Machine Translation (Q)
|
98% |
9081
156.9 IPS |
