Mac mini (2024)
Geekbench AI Score
4670
Single Precision Score
7517
Half Precision Score
6133
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | ShaneOGrady |
| Upload Date | June 24 2025 03:20 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
1967
365.8 IPS |
|
|
Image Classification (HP)
|
100% |
3317
616.9 IPS |
|
|
Image Classification (Q)
|
96% |
2325
434.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2159
35.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3256
52.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3642
59.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9730
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
18949
22.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
16370
19.2 IPS |
|
|
Object Detection (SP)
|
100% |
2411
191.2 IPS |
|
|
Object Detection (HP)
|
97% |
3754
298.8 IPS |
|
|
Object Detection (Q)
|
94% |
2712
216.1 IPS |
|
|
Face Detection (SP)
|
100% |
4310
51.2 IPS |
|
|
Face Detection (HP)
|
100% |
7299
86.7 IPS |
|
|
Face Detection (Q)
|
100% |
4460
53.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8689
66.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14636
113.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
10216
79.7 IPS |
|
|
Style Transfer (SP)
|
100% |
20815
26.8 IPS |
|
|
Style Transfer (HP)
|
100% |
38543
49.5 IPS |
|
|
Style Transfer (Q)
|
96% |
32061
41.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5670
209.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6374
235.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4744
175.2 IPS |
|
|
Text Classification (SP)
|
100% |
2956
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
5543
7.40 KIPS |
|
|
Text Classification (Q)
|
93% |
5536
7.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
3792
65.3 IPS |
|
|
Machine Translation (HP)
|
98% |
5155
89.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5226
90.3 IPS |
