Mac mini (2024)
Geekbench AI Score
4776
Single Precision Score
7709
Half Precision Score
6284
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | April 19 2025 05:54 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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% |
2044
380.1 IPS |
|
|
Image Classification (HP)
|
100% |
3341
621.4 IPS |
|
|
Image Classification (Q)
|
96% |
2309
431.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2176
35.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2903
47.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3500
56.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9788
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
19230
22.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
16557
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2384
189.1 IPS |
|
|
Object Detection (HP)
|
97% |
3755
298.9 IPS |
|
|
Object Detection (Q)
|
94% |
2668
212.6 IPS |
|
|
Face Detection (SP)
|
100% |
4123
49.0 IPS |
|
|
Face Detection (HP)
|
100% |
7130
84.7 IPS |
|
|
Face Detection (Q)
|
100% |
4244
50.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8285
63.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14475
111.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10171
79.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21375
27.5 IPS |
|
|
Style Transfer (HP)
|
100% |
38456
49.4 IPS |
|
|
Style Transfer (Q)
|
96% |
31590
40.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6073
224.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7144
263.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4995
184.4 IPS |
|
|
Text Classification (SP)
|
100% |
3098
4.13 KIPS |
|
|
Text Classification (HP)
|
100% |
5430
7.25 KIPS |
|
|
Text Classification (Q)
|
93% |
5423
7.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
4340
74.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6881
118.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7283
125.9 IPS |
