Mac mini (2024)
Geekbench AI Score
4677
Single Precision Score
7661
Half Precision Score
6167
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | December 18 2025 03:17 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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 | 4.40 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2011
373.9 IPS |
|
|
Image Classification (HP)
|
100% |
3305
614.5 IPS |
|
|
Image Classification (Q)
|
96% |
2308
431.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1992
32.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3122
50.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3432
55.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9301
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
18627
21.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16221
19.0 IPS |
|
|
Object Detection (SP)
|
100% |
2390
189.6 IPS |
|
|
Object Detection (HP)
|
97% |
3666
291.9 IPS |
|
|
Object Detection (Q)
|
94% |
2647
211.0 IPS |
|
|
Face Detection (SP)
|
100% |
3982
47.3 IPS |
|
|
Face Detection (HP)
|
100% |
7160
85.1 IPS |
|
|
Face Detection (Q)
|
100% |
4273
50.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8201
63.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
13641
105.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9653
75.3 IPS |
|
|
Style Transfer (SP)
|
100% |
22096
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
37275
47.9 IPS |
|
|
Style Transfer (Q)
|
96% |
29751
38.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5547
204.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6789
250.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4799
177.2 IPS |
|
|
Text Classification (SP)
|
100% |
3213
4.29 KIPS |
|
|
Text Classification (HP)
|
99% |
5608
7.49 KIPS |
|
|
Text Classification (Q)
|
93% |
5567
7.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
4378
75.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7131
123.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7147
123.5 IPS |
