Mac mini (2024)
Geekbench AI Score
4973
Single Precision Score
8057
Half Precision Score
6463
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | rgba |
| Upload Date | March 23 2026 11:22 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| 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 | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2118
393.9 IPS |
|
|
Image Classification (HP)
|
100% |
3378
628.2 IPS |
|
|
Image Classification (Q)
|
96% |
2346
438.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2098
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3180
51.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3527
57.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10059
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19453
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16720
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
2461
195.2 IPS |
|
|
Object Detection (HP)
|
97% |
3813
303.5 IPS |
|
|
Object Detection (Q)
|
94% |
2739
218.3 IPS |
|
|
Face Detection (SP)
|
100% |
4330
51.5 IPS |
|
|
Face Detection (HP)
|
100% |
7812
92.8 IPS |
|
|
Face Detection (Q)
|
100% |
4514
53.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8605
66.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14157
109.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
10028
78.3 IPS |
|
|
Style Transfer (SP)
|
100% |
24493
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
38905
50.0 IPS |
|
|
Style Transfer (Q)
|
96% |
31973
41.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6067
224.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7147
263.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4929
182.0 IPS |
|
|
Text Classification (SP)
|
100% |
3329
4.44 KIPS |
|
|
Text Classification (HP)
|
99% |
5829
7.78 KIPS |
|
|
Text Classification (Q)
|
93% |
5880
7.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
4566
78.7 IPS |
|
|
Machine Translation (HP)
|
98% |
8077
139.6 IPS |
|
|
Machine Translation (Q)
|
98% |
8001
138.3 IPS |
