Mac mini (2024)
Geekbench AI Score
4596
Single Precision Score
7691
Half Precision Score
6160
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | 4tmmagrma |
| Upload Date | September 07 2025 01:30 PM |
| Views | 3 |
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 | 4.40 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2021
375.9 IPS |
|
|
Image Classification (HP)
|
100% |
3224
599.6 IPS |
|
|
Image Classification (Q)
|
96% |
2225
415.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2028
32.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3193
51.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3479
56.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9535
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
18856
22.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
16300
19.1 IPS |
|
|
Object Detection (SP)
|
100% |
2369
187.9 IPS |
|
|
Object Detection (HP)
|
97% |
3700
294.5 IPS |
|
|
Object Detection (Q)
|
94% |
2648
211.1 IPS |
|
|
Face Detection (SP)
|
100% |
3870
46.0 IPS |
|
|
Face Detection (HP)
|
100% |
6916
82.2 IPS |
|
|
Face Detection (Q)
|
100% |
4129
49.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8295
63.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14287
110.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9997
78.0 IPS |
|
|
Style Transfer (SP)
|
100% |
19552
25.1 IPS |
|
|
Style Transfer (HP)
|
100% |
37710
48.5 IPS |
|
|
Style Transfer (Q)
|
96% |
31060
40.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5757
212.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7271
268.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5039
186.0 IPS |
|
|
Text Classification (SP)
|
100% |
3036
4.05 KIPS |
|
|
Text Classification (HP)
|
100% |
5467
7.30 KIPS |
|
|
Text Classification (Q)
|
93% |
5434
7.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
4141
71.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6808
117.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6718
116.1 IPS |
