Mac mini (2024)
Geekbench AI Score
7946
Single Precision Score
9970
Half Precision Score
8980
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | dgbrownnt |
| Upload Date | July 25 2025 05:43 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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% |
4170
775.4 IPS |
|
|
Image Classification (HP)
|
100% |
4833
898.8 IPS |
|
|
Image Classification (Q)
|
97% |
4139
772.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4181
67.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
6093
98.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
7201
116.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
28025
32.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
30447
35.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
28747
33.7 IPS |
|
|
Object Detection (SP)
|
100% |
4557
361.4 IPS |
|
|
Object Detection (HP)
|
100% |
5224
414.4 IPS |
|
|
Object Detection (Q)
|
91% |
4332
346.2 IPS |
|
|
Face Detection (SP)
|
100% |
11285
134.1 IPS |
|
|
Face Detection (HP)
|
100% |
15632
185.7 IPS |
|
|
Face Detection (Q)
|
100% |
11581
137.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
19668
151.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
22885
176.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
19135
149.6 IPS |
|
|
Style Transfer (SP)
|
100% |
55414
71.2 IPS |
|
|
Style Transfer (HP)
|
100% |
68966
88.7 IPS |
|
|
Style Transfer (Q)
|
96% |
64773
83.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11725
432.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12604
465.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10194
376.4 IPS |
|
|
Text Classification (SP)
|
100% |
3088
4.12 KIPS |
|
|
Text Classification (HP)
|
100% |
5394
7.20 KIPS |
|
|
Text Classification (Q)
|
93% |
5446
7.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
1013
17.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1236
21.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1154
19.9 IPS |
