Mac mini (2024)
Geekbench AI Score
4893
Single Precision Score
7972
Half Precision Score
6365
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | Brock_Suire |
| Upload Date | October 27 2025 10:45 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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% |
2061
383.3 IPS |
|
|
Image Classification (HP)
|
100% |
3373
627.3 IPS |
|
|
Image Classification (Q)
|
96% |
2288
427.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2084
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3140
50.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3481
56.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9864
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
19231
22.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
16513
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2390
189.6 IPS |
|
|
Object Detection (HP)
|
97% |
3774
300.5 IPS |
|
|
Object Detection (Q)
|
94% |
2664
212.3 IPS |
|
|
Face Detection (SP)
|
100% |
4214
50.1 IPS |
|
|
Face Detection (HP)
|
100% |
7646
90.9 IPS |
|
|
Face Detection (Q)
|
100% |
4383
52.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8457
65.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
13987
108.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9806
76.5 IPS |
|
|
Style Transfer (SP)
|
100% |
23815
30.6 IPS |
|
|
Style Transfer (HP)
|
100% |
38365
49.3 IPS |
|
|
Style Transfer (Q)
|
96% |
31520
40.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6071
224.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7029
259.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4986
184.1 IPS |
|
|
Text Classification (SP)
|
100% |
3353
4.48 KIPS |
|
|
Text Classification (HP)
|
99% |
5842
7.80 KIPS |
|
|
Text Classification (Q)
|
93% |
5811
7.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
4500
77.5 IPS |
|
|
Machine Translation (HP)
|
98% |
8015
138.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7948
137.4 IPS |
