Mac mini (2024)
Geekbench AI Score
4362
Single Precision Score
7268
Half Precision Score
5929
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | June 08 2025 08:33 AM |
| Views | 5 |
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 | 4.37 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1934
359.6 IPS |
|
|
Image Classification (HP)
|
100% |
3040
565.3 IPS |
|
|
Image Classification (Q)
|
96% |
2229
416.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1952
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3034
49.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3449
55.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8784
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
18409
21.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15968
18.7 IPS |
|
|
Object Detection (SP)
|
100% |
2286
181.3 IPS |
|
|
Object Detection (HP)
|
97% |
3591
285.8 IPS |
|
|
Object Detection (Q)
|
94% |
2593
206.7 IPS |
|
|
Face Detection (SP)
|
100% |
3784
45.0 IPS |
|
|
Face Detection (HP)
|
100% |
6494
77.2 IPS |
|
|
Face Detection (Q)
|
100% |
4005
47.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7796
60.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
13929
107.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9743
76.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17169
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
37011
47.6 IPS |
|
|
Style Transfer (Q)
|
96% |
30592
39.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5472
202.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6632
244.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4696
173.4 IPS |
|
|
Text Classification (SP)
|
100% |
2924
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
5203
6.94 KIPS |
|
|
Text Classification (Q)
|
93% |
5250
7.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
4062
70.0 IPS |
|
|
Machine Translation (HP)
|
98% |
5845
101.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5731
99.0 IPS |
