Mac mini (2024)
Geekbench AI Score
4875
Single Precision Score
7980
Half Precision Score
6408
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | BirdsLikeWires |
| Upload Date | September 09 2025 11:53 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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% |
2114
393.1 IPS |
|
|
Image Classification (HP)
|
100% |
3337
620.5 IPS |
|
|
Image Classification (Q)
|
96% |
2334
435.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2152
34.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3169
51.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3593
58.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10009
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19435
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16768
19.7 IPS |
|
|
Object Detection (SP)
|
100% |
2474
196.3 IPS |
|
|
Object Detection (HP)
|
97% |
3833
305.1 IPS |
|
|
Object Detection (Q)
|
94% |
2751
219.3 IPS |
|
|
Face Detection (SP)
|
100% |
4417
52.5 IPS |
|
|
Face Detection (HP)
|
100% |
7832
93.1 IPS |
|
|
Face Detection (Q)
|
100% |
4532
53.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8772
67.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14811
114.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10429
81.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21864
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
38875
50.0 IPS |
|
|
Style Transfer (Q)
|
96% |
32175
41.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6113
225.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7282
268.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4975
183.7 IPS |
|
|
Text Classification (SP)
|
100% |
2949
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5576
7.44 KIPS |
|
|
Text Classification (Q)
|
93% |
5442
7.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
4407
75.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7268
125.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7337
126.8 IPS |
