Mac mini (2024)
Geekbench AI Score
4998
Single Precision Score
8064
Half Precision Score
6496
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | ntell |
| Upload Date | January 06 2026 12:39 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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 | 4.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2107
391.8 IPS |
|
|
Image Classification (HP)
|
100% |
3393
631.0 IPS |
|
|
Image Classification (Q)
|
96% |
2357
440.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2128
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3205
51.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3589
58.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10066
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19428
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16779
19.7 IPS |
|
|
Object Detection (SP)
|
100% |
2486
197.2 IPS |
|
|
Object Detection (HP)
|
97% |
3821
304.2 IPS |
|
|
Object Detection (Q)
|
94% |
2757
219.7 IPS |
|
|
Face Detection (SP)
|
100% |
4370
51.9 IPS |
|
|
Face Detection (HP)
|
100% |
7894
93.8 IPS |
|
|
Face Detection (Q)
|
100% |
4592
54.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8631
66.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
14186
109.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
10050
78.4 IPS |
|
|
Style Transfer (SP)
|
100% |
24257
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
38982
50.1 IPS |
|
|
Style Transfer (Q)
|
96% |
32147
41.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6017
222.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7038
259.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4949
182.7 IPS |
|
|
Text Classification (SP)
|
100% |
3459
4.62 KIPS |
|
|
Text Classification (HP)
|
99% |
5823
7.77 KIPS |
|
|
Text Classification (Q)
|
93% |
5773
7.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
4554
78.4 IPS |
|
|
Machine Translation (HP)
|
98% |
8055
139.2 IPS |
|
|
Machine Translation (Q)
|
98% |
8073
139.5 IPS |
