Mac mini (2024)
Geekbench AI Score
4863
Single Precision Score
7937
Half Precision Score
6386
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | Brock_Suire |
| Upload Date | August 13 2025 11:18 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.6 (Build 24G84) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2100
390.6 IPS |
|
|
Image Classification (HP)
|
100% |
3335
620.2 IPS |
|
|
Image Classification (Q)
|
96% |
2314
432.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2148
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3155
51.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3595
58.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9906
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19395
22.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16704
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
2457
194.9 IPS |
|
|
Object Detection (HP)
|
97% |
3814
303.6 IPS |
|
|
Object Detection (Q)
|
94% |
2715
216.4 IPS |
|
|
Face Detection (SP)
|
100% |
4296
51.0 IPS |
|
|
Face Detection (HP)
|
100% |
7661
91.0 IPS |
|
|
Face Detection (Q)
|
100% |
4457
53.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8670
66.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14656
113.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10297
80.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21700
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
38766
49.8 IPS |
|
|
Style Transfer (Q)
|
96% |
32113
41.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6103
225.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7310
269.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5001
184.7 IPS |
|
|
Text Classification (SP)
|
100% |
3099
4.14 KIPS |
|
|
Text Classification (HP)
|
100% |
5495
7.33 KIPS |
|
|
Text Classification (Q)
|
93% |
5443
7.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
4409
75.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7293
126.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7455
128.8 IPS |
