Mac mini (2024)
Geekbench AI Score
4733
Single Precision Score
38563
Half Precision Score
55905
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| Upload Date | August 12 2025 03:40 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.6 (Build 24G84) |
| 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% |
2106
391.6 IPS |
|
|
Image Classification (HP)
|
100% |
18096
3.37 KIPS |
|
|
Image Classification (Q)
|
97% |
29431
5.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2087
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
22108
358.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
30776
498.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9716
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
122482
142.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
231453
271.3 IPS |
|
|
Object Detection (SP)
|
100% |
2369
187.9 IPS |
|
|
Object Detection (HP)
|
100% |
19922
1.58 KIPS |
|
|
Object Detection (Q)
|
91% |
28535
2.28 KIPS |
|
|
Face Detection (SP)
|
100% |
4062
48.3 IPS |
|
|
Face Detection (HP)
|
100% |
44890
533.4 IPS |
|
|
Face Detection (Q)
|
100% |
62758
745.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8452
65.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
100162
771.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
174590
1.37 KIPS |
|
|
Style Transfer (SP)
|
100% |
20764
26.7 IPS |
|
|
Style Transfer (HP)
|
100% |
235648
302.9 IPS |
|
|
Style Transfer (Q)
|
96% |
297947
384.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6009
221.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51528
1.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
95165
3.51 KIPS |
|
|
Text Classification (SP)
|
100% |
3037
4.05 KIPS |
|
|
Text Classification (HP)
|
100% |
7714
10.3 KIPS |
|
|
Text Classification (Q)
|
93% |
8121
10.9 KIPS |
|
|
Machine Translation (SP)
|
100% |
4291
73.9 IPS |
|
|
Machine Translation (HP)
|
100% |
17692
304.8 IPS |
|
|
Machine Translation (Q)
|
98% |
19761
341.5 IPS |
