Mac mini (2024)
Geekbench AI Score
4941
Single Precision Score
8015
Half Precision Score
6418
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | Faust1977 |
| Upload Date | November 05 2025 09:15 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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% |
2108
391.9 IPS |
|
|
Image Classification (HP)
|
100% |
3382
628.9 IPS |
|
|
Image Classification (Q)
|
96% |
2346
438.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2082
33.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3127
50.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3547
57.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9992
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19406
22.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16694
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
2461
195.2 IPS |
|
|
Object Detection (HP)
|
97% |
3790
301.7 IPS |
|
|
Object Detection (Q)
|
94% |
2719
216.7 IPS |
|
|
Face Detection (SP)
|
100% |
4251
50.5 IPS |
|
|
Face Detection (HP)
|
100% |
7691
91.4 IPS |
|
|
Face Detection (Q)
|
100% |
4445
52.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8472
65.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14044
108.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9926
77.5 IPS |
|
|
Style Transfer (SP)
|
100% |
24172
31.1 IPS |
|
|
Style Transfer (HP)
|
100% |
38778
49.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31814
41.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6045
223.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7276
268.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4942
182.5 IPS |
|
|
Text Classification (SP)
|
100% |
3397
4.53 KIPS |
|
|
Text Classification (HP)
|
99% |
5922
7.90 KIPS |
|
|
Text Classification (Q)
|
93% |
5828
7.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
4501
77.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7800
134.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7766
134.2 IPS |
