Mac mini (2024)
Geekbench AI Score
4853
Single Precision Score
7959
Half Precision Score
6423
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 08 2025 12:53 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.7.1 (Build 24G231) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2107
391.8 IPS |
|
|
Image Classification (HP)
|
100% |
3322
617.8 IPS |
|
|
Image Classification (Q)
|
96% |
2346
438.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2118
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3193
51.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3590
58.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9900
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19359
22.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16731
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
2448
194.2 IPS |
|
|
Object Detection (HP)
|
97% |
3793
301.9 IPS |
|
|
Object Detection (Q)
|
94% |
2737
218.1 IPS |
|
|
Face Detection (SP)
|
100% |
4311
51.2 IPS |
|
|
Face Detection (HP)
|
100% |
7791
92.6 IPS |
|
|
Face Detection (Q)
|
100% |
4517
53.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8765
67.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
14765
114.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
10352
80.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21585
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
38791
49.9 IPS |
|
|
Style Transfer (Q)
|
96% |
32224
41.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6043
223.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7315
270.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5006
184.9 IPS |
|
|
Text Classification (SP)
|
100% |
3093
4.13 KIPS |
|
|
Text Classification (HP)
|
100% |
5509
7.35 KIPS |
|
|
Text Classification (Q)
|
93% |
5627
7.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
4395
75.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7286
125.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7310
126.3 IPS |
