Mac mini (2024)
Geekbench AI Score
4913
Single Precision Score
7994
Half Precision Score
6405
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | gtuck |
| Upload Date | December 03 2025 07:45 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C5048a) |
| 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% |
2078
386.4 IPS |
|
|
Image Classification (HP)
|
100% |
3361
625.0 IPS |
|
|
Image Classification (Q)
|
96% |
2350
438.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2103
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3219
52.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3542
57.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10052
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19445
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16670
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2443
193.8 IPS |
|
|
Object Detection (HP)
|
97% |
3775
300.6 IPS |
|
|
Object Detection (Q)
|
94% |
2708
215.8 IPS |
|
|
Face Detection (SP)
|
100% |
4288
50.9 IPS |
|
|
Face Detection (HP)
|
100% |
7692
91.4 IPS |
|
|
Face Detection (Q)
|
100% |
4436
52.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8459
65.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14027
108.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9892
77.2 IPS |
|
|
Style Transfer (SP)
|
100% |
24262
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
38755
49.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31789
41.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6045
223.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6983
257.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4975
183.7 IPS |
|
|
Text Classification (SP)
|
100% |
3177
4.24 KIPS |
|
|
Text Classification (HP)
|
99% |
5731
7.65 KIPS |
|
|
Text Classification (Q)
|
93% |
5564
7.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
4520
77.9 IPS |
|
|
Machine Translation (HP)
|
98% |
8028
138.7 IPS |
|
|
Machine Translation (Q)
|
98% |
8013
138.5 IPS |
