Mac mini (2024)
Geekbench AI Score
4839
Single Precision Score
7983
Half Precision Score
6435
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | shiftHappens |
| Upload Date | June 12 2025 08:49 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
2100
390.6 IPS |
|
|
Image Classification (HP)
|
100% |
3338
620.9 IPS |
|
|
Image Classification (Q)
|
96% |
2340
437.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2142
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3143
51.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3636
58.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9842
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
19399
22.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16755
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
2470
196.0 IPS |
|
|
Object Detection (HP)
|
97% |
3820
304.1 IPS |
|
|
Object Detection (Q)
|
94% |
2749
219.1 IPS |
|
|
Face Detection (SP)
|
100% |
4345
51.6 IPS |
|
|
Face Detection (HP)
|
100% |
7885
93.7 IPS |
|
|
Face Detection (Q)
|
100% |
4562
54.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8750
67.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14763
114.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
10378
81.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21851
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
38787
49.9 IPS |
|
|
Style Transfer (Q)
|
96% |
32161
41.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6088
224.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7261
268.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4972
183.6 IPS |
|
|
Text Classification (SP)
|
100% |
2904
3.88 KIPS |
|
|
Text Classification (HP)
|
100% |
5676
7.58 KIPS |
|
|
Text Classification (Q)
|
93% |
5494
7.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
4392
75.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7269
125.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7470
129.1 IPS |
