Mac mini (2024)
Geekbench AI Score
4756
Single Precision Score
7808
Half Precision Score
6298
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | aamato |
| Upload Date | January 04 2026 02:37 PM |
| Views | 5 |
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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2046
380.5 IPS |
|
|
Image Classification (HP)
|
100% |
3337
620.5 IPS |
|
|
Image Classification (Q)
|
96% |
2305
430.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2094
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3082
50.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3565
57.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9843
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
19391
22.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16605
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2419
191.8 IPS |
|
|
Object Detection (HP)
|
97% |
3735
297.4 IPS |
|
|
Object Detection (Q)
|
94% |
2687
214.2 IPS |
|
|
Face Detection (SP)
|
100% |
4103
48.8 IPS |
|
|
Face Detection (HP)
|
100% |
7449
88.5 IPS |
|
|
Face Detection (Q)
|
100% |
4287
50.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8584
66.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14563
112.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
10150
79.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21202
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
35303
45.4 IPS |
|
|
Style Transfer (Q)
|
96% |
31466
40.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6036
222.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7129
263.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5002
184.7 IPS |
|
|
Text Classification (SP)
|
100% |
2939
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
5718
7.63 KIPS |
|
|
Text Classification (Q)
|
93% |
5570
7.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
4385
75.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7246
125.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7022
121.4 IPS |
