Mac mini (2024)
Geekbench AI Score
4769
Single Precision Score
7847
Half Precision Score
6341
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | nickmax |
| Upload Date | April 02 2025 06:10 AM |
| Views | 11 |
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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2033
378.2 IPS |
|
|
Image Classification (HP)
|
100% |
3277
609.4 IPS |
|
|
Image Classification (Q)
|
96% |
2320
433.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2115
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3247
52.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3697
59.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10023
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19019
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16576
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2299
182.3 IPS |
|
|
Object Detection (HP)
|
97% |
3773
300.4 IPS |
|
|
Object Detection (Q)
|
94% |
2739
218.3 IPS |
|
|
Face Detection (SP)
|
100% |
4053
48.2 IPS |
|
|
Face Detection (HP)
|
100% |
7682
91.3 IPS |
|
|
Face Detection (Q)
|
100% |
4467
53.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8412
64.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14870
115.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10390
81.1 IPS |
|
|
Style Transfer (SP)
|
100% |
25420
32.7 IPS |
|
|
Style Transfer (HP)
|
100% |
38572
49.6 IPS |
|
|
Style Transfer (Q)
|
96% |
32010
41.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5782
213.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6762
249.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4778
176.4 IPS |
|
|
Text Classification (SP)
|
100% |
3116
4.16 KIPS |
|
|
Text Classification (HP)
|
100% |
5651
7.54 KIPS |
|
|
Text Classification (Q)
|
93% |
5473
7.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3940
67.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6888
119.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6950
120.1 IPS |
