Mac mini (2024)
Geekbench AI Score
4557
Single Precision Score
7570
Half Precision Score
6167
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | dgbrownnt |
| Upload Date | July 25 2025 05:38 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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% |
1928
358.6 IPS |
|
|
Image Classification (HP)
|
100% |
3238
602.2 IPS |
|
|
Image Classification (Q)
|
96% |
2303
430.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1989
32.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3174
51.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3559
57.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9636
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
18583
21.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16286
19.1 IPS |
|
|
Object Detection (SP)
|
100% |
2224
176.4 IPS |
|
|
Object Detection (HP)
|
97% |
3663
291.6 IPS |
|
|
Object Detection (Q)
|
94% |
2666
212.5 IPS |
|
|
Face Detection (SP)
|
100% |
3729
44.3 IPS |
|
|
Face Detection (HP)
|
100% |
6896
81.9 IPS |
|
|
Face Detection (Q)
|
100% |
4222
50.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8133
62.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
14521
112.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10223
79.8 IPS |
|
|
Style Transfer (SP)
|
100% |
24247
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
37853
48.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31378
40.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5465
201.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6739
248.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4754
175.5 IPS |
|
|
Text Classification (SP)
|
100% |
3128
4.17 KIPS |
|
|
Text Classification (HP)
|
100% |
5476
7.31 KIPS |
|
|
Text Classification (Q)
|
93% |
5491
7.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3745
64.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6318
109.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6325
109.3 IPS |
