Mac mini (2024)
Geekbench AI Score
4962
Single Precision Score
8002
Half Precision Score
6468
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | jobieh |
| Upload Date | October 14 2025 08:10 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2125
395.1 IPS |
|
|
Image Classification (HP)
|
100% |
3358
624.5 IPS |
|
|
Image Classification (Q)
|
96% |
2357
440.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2097
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3191
51.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3552
57.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9955
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19350
22.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16704
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
2467
195.7 IPS |
|
|
Object Detection (HP)
|
97% |
3792
301.9 IPS |
|
|
Object Detection (Q)
|
94% |
2742
218.5 IPS |
|
|
Face Detection (SP)
|
100% |
4302
51.1 IPS |
|
|
Face Detection (HP)
|
100% |
7687
91.3 IPS |
|
|
Face Detection (Q)
|
100% |
4500
53.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8585
66.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14185
109.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
10015
78.2 IPS |
|
|
Style Transfer (SP)
|
100% |
24264
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
39054
50.2 IPS |
|
|
Style Transfer (Q)
|
96% |
32046
41.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6058
223.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7112
262.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4924
181.8 IPS |
|
|
Text Classification (SP)
|
100% |
3359
4.48 KIPS |
|
|
Text Classification (HP)
|
99% |
5915
7.89 KIPS |
|
|
Text Classification (Q)
|
93% |
5872
7.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
4536
78.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7643
132.1 IPS |
|
|
Machine Translation (Q)
|
98% |
8010
138.4 IPS |
