Mac mini (2024)
Geekbench AI Score
10583
Single Precision Score
12351
Half Precision Score
11385
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| Upload Date | August 12 2025 03:53 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.6 (Build 24G84) |
| 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% |
4916
914.2 IPS |
|
|
Image Classification (HP)
|
100% |
5388
1.00 KIPS |
|
|
Image Classification (Q)
|
96% |
4949
924.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
7765
125.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
8506
137.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
8298
134.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
29880
34.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
32006
37.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
31711
37.1 IPS |
|
|
Object Detection (SP)
|
100% |
5259
417.2 IPS |
|
|
Object Detection (HP)
|
100% |
5789
459.2 IPS |
|
|
Object Detection (Q)
|
92% |
5217
416.4 IPS |
|
|
Face Detection (SP)
|
100% |
13129
156.0 IPS |
|
|
Face Detection (HP)
|
100% |
17209
204.5 IPS |
|
|
Face Detection (Q)
|
100% |
13957
165.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
22711
175.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
24378
187.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
22662
177.0 IPS |
|
|
Style Transfer (SP)
|
100% |
59954
77.1 IPS |
|
|
Style Transfer (HP)
|
100% |
72727
93.5 IPS |
|
|
Style Transfer (Q)
|
96% |
70404
90.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13298
491.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13403
494.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11738
433.4 IPS |
|
|
Text Classification (SP)
|
100% |
3021
4.03 KIPS |
|
|
Text Classification (HP)
|
100% |
5542
7.40 KIPS |
|
|
Text Classification (Q)
|
93% |
5526
7.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
4093
70.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4293
73.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3731
64.5 IPS |
