Mac mini (2024)
Geekbench AI Score
4891
Single Precision Score
7880
Half Precision Score
6326
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | JosBre |
| Upload Date | September 05 2025 03:06 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5351b) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2111
392.6 IPS |
|
|
Image Classification (HP)
|
100% |
3376
627.8 IPS |
|
|
Image Classification (Q)
|
96% |
2350
438.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2086
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3180
51.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3520
57.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10005
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19372
22.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16688
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
2456
194.8 IPS |
|
|
Object Detection (HP)
|
97% |
3782
301.1 IPS |
|
|
Object Detection (Q)
|
94% |
2720
216.8 IPS |
|
|
Face Detection (SP)
|
100% |
4266
50.7 IPS |
|
|
Face Detection (HP)
|
100% |
7764
92.3 IPS |
|
|
Face Detection (Q)
|
100% |
4446
52.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8496
65.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
13926
107.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9853
76.9 IPS |
|
|
Style Transfer (SP)
|
100% |
24330
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
39108
50.3 IPS |
|
|
Style Transfer (Q)
|
96% |
32029
41.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5928
218.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7246
267.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4930
182.0 IPS |
|
|
Text Classification (SP)
|
100% |
3146
4.20 KIPS |
|
|
Text Classification (HP)
|
99% |
5363
7.16 KIPS |
|
|
Text Classification (Q)
|
93% |
5374
7.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
4404
75.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7144
123.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7362
127.2 IPS |
