Mac mini (2024)
Geekbench AI Score
10623
Single Precision Score
12448
Half Precision Score
11020
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | HTABHTA |
| Upload Date | October 21 2025 03:35 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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% |
4856
903.0 IPS |
|
|
Image Classification (HP)
|
100% |
5229
972.5 IPS |
|
|
Image Classification (Q)
|
96% |
4685
874.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
7688
124.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
8508
137.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
8087
131.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
28898
33.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
33088
38.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
32215
37.7 IPS |
|
|
Object Detection (SP)
|
100% |
4915
389.8 IPS |
|
|
Object Detection (HP)
|
100% |
5389
427.4 IPS |
|
|
Object Detection (Q)
|
92% |
5048
403.0 IPS |
|
|
Face Detection (SP)
|
100% |
13173
156.5 IPS |
|
|
Face Detection (HP)
|
100% |
17687
210.2 IPS |
|
|
Face Detection (Q)
|
100% |
14015
166.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
21332
164.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
23536
181.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
21471
167.7 IPS |
|
|
Style Transfer (SP)
|
100% |
60811
78.2 IPS |
|
|
Style Transfer (HP)
|
100% |
72496
93.2 IPS |
|
|
Style Transfer (Q)
|
96% |
70225
90.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12133
448.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12558
463.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10905
402.7 IPS |
|
|
Text Classification (SP)
|
100% |
3298
4.40 KIPS |
|
|
Text Classification (HP)
|
99% |
5882
7.85 KIPS |
|
|
Text Classification (Q)
|
93% |
5887
7.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
5050
87.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5054
87.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3162
54.7 IPS |
