Mac mini (2024)
Geekbench AI Score
4737
Single Precision Score
7807
Half Precision Score
6360
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | September 11 2025 02:05 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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% |
2043
379.9 IPS |
|
|
Image Classification (HP)
|
100% |
3288
611.5 IPS |
|
|
Image Classification (Q)
|
96% |
2328
434.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2138
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3217
52.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3704
60.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10071
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19038
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16593
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2302
182.6 IPS |
|
|
Object Detection (HP)
|
97% |
3788
301.5 IPS |
|
|
Object Detection (Q)
|
94% |
2747
219.0 IPS |
|
|
Face Detection (SP)
|
100% |
3967
47.1 IPS |
|
|
Face Detection (HP)
|
100% |
7669
91.1 IPS |
|
|
Face Detection (Q)
|
100% |
4486
53.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8373
64.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
14819
114.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
10362
80.9 IPS |
|
|
Style Transfer (SP)
|
100% |
25463
32.7 IPS |
|
|
Style Transfer (HP)
|
100% |
38513
49.5 IPS |
|
|
Style Transfer (Q)
|
96% |
31980
41.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5769
213.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6749
249.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4795
177.1 IPS |
|
|
Text Classification (SP)
|
100% |
2927
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5413
7.22 KIPS |
|
|
Text Classification (Q)
|
93% |
5538
7.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
3942
67.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6904
119.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6990
120.8 IPS |
