Mac mini (2024)
Geekbench AI Score
10121
Single Precision Score
11440
Half Precision Score
10743
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | Brock_Suire |
| Upload Date | August 29 2025 01:52 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5349a) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4595
854.6 IPS |
|
|
Image Classification (HP)
|
100% |
4984
926.8 IPS |
|
|
Image Classification (Q)
|
96% |
4655
869.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
7521
121.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
8232
133.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
8075
130.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
28775
33.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
32979
38.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
32219
37.7 IPS |
|
|
Object Detection (SP)
|
100% |
4825
382.7 IPS |
|
|
Object Detection (HP)
|
100% |
5319
421.9 IPS |
|
|
Object Detection (Q)
|
92% |
5025
401.1 IPS |
|
|
Face Detection (SP)
|
100% |
12166
144.6 IPS |
|
|
Face Detection (HP)
|
100% |
17190
204.3 IPS |
|
|
Face Detection (Q)
|
100% |
13845
164.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
20928
161.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
23767
183.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
21282
166.2 IPS |
|
|
Style Transfer (SP)
|
100% |
59188
76.1 IPS |
|
|
Style Transfer (HP)
|
100% |
72195
92.8 IPS |
|
|
Style Transfer (Q)
|
96% |
70280
90.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12368
456.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12277
453.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11202
413.6 IPS |
|
|
Text Classification (SP)
|
100% |
3208
4.28 KIPS |
|
|
Text Classification (HP)
|
99% |
5581
7.45 KIPS |
|
|
Text Classification (Q)
|
93% |
5423
7.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
3932
67.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2641
45.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2675
46.2 IPS |
