Mac mini (2024)
Geekbench AI Score
4814
Single Precision Score
7950
Half Precision Score
6395
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| Upload Date | August 21 2025 05:05 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2096
389.8 IPS |
|
|
Image Classification (HP)
|
100% |
3321
617.5 IPS |
|
|
Image Classification (Q)
|
96% |
2333
435.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2128
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3170
51.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3604
58.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9959
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19420
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16733
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
2458
194.9 IPS |
|
|
Object Detection (HP)
|
97% |
3833
305.1 IPS |
|
|
Object Detection (Q)
|
94% |
2746
218.9 IPS |
|
|
Face Detection (SP)
|
100% |
4227
50.2 IPS |
|
|
Face Detection (HP)
|
100% |
7701
91.5 IPS |
|
|
Face Detection (Q)
|
100% |
4453
52.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8716
67.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14705
113.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
10326
80.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21158
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
38578
49.6 IPS |
|
|
Style Transfer (Q)
|
96% |
32136
41.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6034
222.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7227
266.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4969
183.5 IPS |
|
|
Text Classification (SP)
|
100% |
2978
3.98 KIPS |
|
|
Text Classification (HP)
|
100% |
5649
7.54 KIPS |
|
|
Text Classification (Q)
|
93% |
5542
7.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
4378
75.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7218
124.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7279
125.8 IPS |
