Mac mini (2024)
Geekbench AI Score
10536
Single Precision Score
12417
Half Precision Score
11613
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | teotwawk |
| Upload Date | December 11 2025 06:31 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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% |
4886
908.6 IPS |
|
|
Image Classification (HP)
|
100% |
5172
961.7 IPS |
|
|
Image Classification (Q)
|
96% |
4773
891.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
7528
122.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
8422
136.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
8070
130.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
28739
33.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
32987
38.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
32175
37.7 IPS |
|
|
Object Detection (SP)
|
100% |
4868
386.1 IPS |
|
|
Object Detection (HP)
|
100% |
5363
425.4 IPS |
|
|
Object Detection (Q)
|
92% |
5007
399.7 IPS |
|
|
Face Detection (SP)
|
100% |
12787
151.9 IPS |
|
|
Face Detection (HP)
|
100% |
17437
207.2 IPS |
|
|
Face Detection (Q)
|
100% |
13914
165.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
20932
161.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
23430
180.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
21439
167.5 IPS |
|
|
Style Transfer (SP)
|
100% |
59295
76.2 IPS |
|
|
Style Transfer (HP)
|
100% |
72359
93.0 IPS |
|
|
Style Transfer (Q)
|
96% |
70472
90.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12081
446.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12398
457.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10747
396.8 IPS |
|
|
Text Classification (SP)
|
100% |
3414
4.56 KIPS |
|
|
Text Classification (HP)
|
99% |
5701
7.61 KIPS |
|
|
Text Classification (Q)
|
93% |
5869
7.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
5008
86.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5414
93.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5424
93.7 IPS |
