Mac mini (2024)
Geekbench AI Score
4812
Single Precision Score
7611
Half Precision Score
6299
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | Brock_Suire |
| Upload Date | September 30 2025 03:45 AM |
| Views | 3 |
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 | 4.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2053
381.7 IPS |
|
|
Image Classification (HP)
|
100% |
3366
626.0 IPS |
|
|
Image Classification (Q)
|
96% |
2286
427.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2093
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3166
51.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3484
56.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9756
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
18932
22.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
16583
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2415
191.5 IPS |
|
|
Object Detection (HP)
|
97% |
3751
298.7 IPS |
|
|
Object Detection (Q)
|
94% |
2676
213.3 IPS |
|
|
Face Detection (SP)
|
100% |
3569
42.4 IPS |
|
|
Face Detection (HP)
|
100% |
4830
57.4 IPS |
|
|
Face Detection (Q)
|
100% |
4159
49.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8459
65.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
13886
107.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9376
73.2 IPS |
|
|
Style Transfer (SP)
|
100% |
23799
30.6 IPS |
|
|
Style Transfer (HP)
|
100% |
38727
49.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31658
40.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6039
223.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7145
263.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4970
183.5 IPS |
|
|
Text Classification (SP)
|
100% |
3364
4.49 KIPS |
|
|
Text Classification (HP)
|
99% |
5811
7.76 KIPS |
|
|
Text Classification (Q)
|
93% |
5683
7.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
4507
77.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7995
138.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7992
138.1 IPS |
