Mac mini (2024)
Geekbench AI Score
4798
Single Precision Score
7802
Half Precision Score
6271
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | Magic |
| Upload Date | January 15 2026 09:17 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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 | 4.38 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1945
361.7 IPS |
|
|
Image Classification (HP)
|
100% |
3199
595.0 IPS |
|
|
Image Classification (Q)
|
96% |
2181
407.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2091
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3191
51.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3588
58.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9766
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
18949
22.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
15885
18.6 IPS |
|
|
Object Detection (SP)
|
100% |
2313
183.4 IPS |
|
|
Object Detection (HP)
|
97% |
3759
299.2 IPS |
|
|
Object Detection (Q)
|
94% |
2734
217.9 IPS |
|
|
Face Detection (SP)
|
100% |
4234
50.3 IPS |
|
|
Face Detection (HP)
|
100% |
7788
92.5 IPS |
|
|
Face Detection (Q)
|
100% |
4523
53.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8600
66.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
13104
101.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9371
73.1 IPS |
|
|
Style Transfer (SP)
|
100% |
22929
29.5 IPS |
|
|
Style Transfer (HP)
|
100% |
39122
50.3 IPS |
|
|
Style Transfer (Q)
|
96% |
32150
41.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6020
222.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7156
264.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4908
181.2 IPS |
|
|
Text Classification (SP)
|
100% |
3219
4.30 KIPS |
|
|
Text Classification (HP)
|
99% |
5468
7.30 KIPS |
|
|
Text Classification (Q)
|
93% |
5638
7.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
4352
75.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7366
127.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7344
126.9 IPS |
