Mac mini (2024)
Geekbench AI Score
9601
Single Precision Score
11495
Half Precision Score
10679
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | December 18 2025 03:08 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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 | 4.36 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4452
827.9 IPS |
|
|
Image Classification (HP)
|
100% |
4492
835.3 IPS |
|
|
Image Classification (Q)
|
96% |
3699
690.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
7081
114.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
7570
122.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
7954
128.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
28476
33.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
32421
37.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
31523
36.9 IPS |
|
|
Object Detection (SP)
|
100% |
4277
339.3 IPS |
|
|
Object Detection (HP)
|
100% |
5057
401.1 IPS |
|
|
Object Detection (Q)
|
92% |
4666
372.4 IPS |
|
|
Face Detection (SP)
|
100% |
10286
122.2 IPS |
|
|
Face Detection (HP)
|
100% |
16455
195.5 IPS |
|
|
Face Detection (Q)
|
100% |
13249
157.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
20292
156.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
23101
178.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
20452
159.7 IPS |
|
|
Style Transfer (SP)
|
100% |
55311
71.1 IPS |
|
|
Style Transfer (HP)
|
100% |
62594
80.5 IPS |
|
|
Style Transfer (Q)
|
96% |
60915
78.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10062
371.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11354
419.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10282
379.7 IPS |
|
|
Text Classification (SP)
|
100% |
3218
4.30 KIPS |
|
|
Text Classification (HP)
|
99% |
5573
7.44 KIPS |
|
|
Text Classification (Q)
|
93% |
5498
7.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
4641
79.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4799
82.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4780
82.6 IPS |
