Mac mini (2024)
Geekbench AI Score
4750
Single Precision Score
7832
Half Precision Score
6328
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | dalogan72 |
| Upload Date | March 21 2025 11:58 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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% |
2043
380.0 IPS |
|
|
Image Classification (HP)
|
100% |
3274
609.0 IPS |
|
|
Image Classification (Q)
|
96% |
2313
432.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2085
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3191
51.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3629
58.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10069
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19065
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16558
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2298
182.3 IPS |
|
|
Object Detection (HP)
|
97% |
3812
303.5 IPS |
|
|
Object Detection (Q)
|
94% |
2751
219.3 IPS |
|
|
Face Detection (SP)
|
100% |
3984
47.3 IPS |
|
|
Face Detection (HP)
|
100% |
7671
91.1 IPS |
|
|
Face Detection (Q)
|
100% |
4460
53.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8378
64.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
14827
114.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
10374
81.0 IPS |
|
|
Style Transfer (SP)
|
100% |
25435
32.7 IPS |
|
|
Style Transfer (HP)
|
100% |
38536
49.5 IPS |
|
|
Style Transfer (Q)
|
96% |
32022
41.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5776
213.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6868
253.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4786
176.7 IPS |
|
|
Text Classification (SP)
|
100% |
3086
4.12 KIPS |
|
|
Text Classification (HP)
|
100% |
5458
7.28 KIPS |
|
|
Text Classification (Q)
|
93% |
5465
7.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
3927
67.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6966
120.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6958
120.2 IPS |
