Mac mini (2024)
Geekbench AI Score
9972
Single Precision Score
11678
Half Precision Score
10863
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | gtuck |
| Upload Date | December 03 2025 07:47 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C5048a) |
| 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% |
4579
851.6 IPS |
|
|
Image Classification (HP)
|
100% |
5024
934.3 IPS |
|
|
Image Classification (Q)
|
96% |
4633
865.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
7597
123.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
8224
133.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
7978
129.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
28939
33.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
33063
38.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
32237
37.8 IPS |
|
|
Object Detection (SP)
|
100% |
4920
390.3 IPS |
|
|
Object Detection (HP)
|
100% |
5513
437.3 IPS |
|
|
Object Detection (Q)
|
92% |
5027
401.2 IPS |
|
|
Face Detection (SP)
|
100% |
12945
153.8 IPS |
|
|
Face Detection (HP)
|
100% |
17256
205.0 IPS |
|
|
Face Detection (Q)
|
100% |
13859
164.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
21243
163.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
23360
180.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
21572
168.5 IPS |
|
|
Style Transfer (SP)
|
100% |
57803
74.3 IPS |
|
|
Style Transfer (HP)
|
100% |
72200
92.8 IPS |
|
|
Style Transfer (Q)
|
96% |
69778
90.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11680
431.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12286
453.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10637
392.8 IPS |
|
|
Text Classification (SP)
|
100% |
3137
4.19 KIPS |
|
|
Text Classification (HP)
|
99% |
5618
7.50 KIPS |
|
|
Text Classification (Q)
|
93% |
5583
7.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
3372
58.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3119
53.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3084
53.3 IPS |
