Mac mini (2024)
Geekbench AI Score
10061
Single Precision Score
11983
Half Precision Score
10937
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | December 16 2025 04:59 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 | 4.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4872
906.0 IPS |
|
|
Image Classification (HP)
|
100% |
5245
975.4 IPS |
|
|
Image Classification (Q)
|
96% |
4734
883.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
7631
123.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
8184
132.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
8001
129.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
28996
33.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
33131
38.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
32250
37.8 IPS |
|
|
Object Detection (SP)
|
100% |
4913
389.7 IPS |
|
|
Object Detection (HP)
|
100% |
5446
432.0 IPS |
|
|
Object Detection (Q)
|
92% |
5081
405.6 IPS |
|
|
Face Detection (SP)
|
100% |
13061
155.2 IPS |
|
|
Face Detection (HP)
|
100% |
17430
207.1 IPS |
|
|
Face Detection (Q)
|
100% |
14013
166.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
21277
163.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
23882
184.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
21633
169.0 IPS |
|
|
Style Transfer (SP)
|
100% |
59226
76.1 IPS |
|
|
Style Transfer (HP)
|
100% |
72681
93.4 IPS |
|
|
Style Transfer (Q)
|
96% |
70337
90.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12444
459.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12570
464.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10920
403.2 IPS |
|
|
Text Classification (SP)
|
100% |
3394
4.53 KIPS |
|
|
Text Classification (HP)
|
99% |
5803
7.75 KIPS |
|
|
Text Classification (Q)
|
93% |
5813
7.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
2888
49.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3573
61.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2916
50.4 IPS |
