Mac mini (2024)
Geekbench AI Score
4696
Single Precision Score
7792
Half Precision Score
6280
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | ItoMeasured10 |
| Upload Date | June 25 2025 05:32 PM |
| Views | 10 |
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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2023
376.3 IPS |
|
|
Image Classification (HP)
|
100% |
3312
615.9 IPS |
|
|
Image Classification (Q)
|
96% |
2323
433.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2042
33.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3191
51.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3568
57.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9552
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
19067
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16516
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2428
192.6 IPS |
|
|
Object Detection (HP)
|
97% |
3761
299.4 IPS |
|
|
Object Detection (Q)
|
94% |
2714
216.4 IPS |
|
|
Face Detection (SP)
|
100% |
4116
48.9 IPS |
|
|
Face Detection (HP)
|
100% |
7230
85.9 IPS |
|
|
Face Detection (Q)
|
100% |
4375
52.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8523
65.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
14640
113.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
10283
80.3 IPS |
|
|
Style Transfer (SP)
|
100% |
20063
25.8 IPS |
|
|
Style Transfer (HP)
|
100% |
38445
49.4 IPS |
|
|
Style Transfer (Q)
|
96% |
31939
41.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5814
214.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7195
265.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4955
182.9 IPS |
|
|
Text Classification (SP)
|
100% |
3071
4.10 KIPS |
|
|
Text Classification (HP)
|
100% |
5463
7.29 KIPS |
|
|
Text Classification (Q)
|
93% |
5359
7.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
4335
74.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6813
117.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6738
116.4 IPS |
