Mac mini (2024)
Geekbench AI Score
10478
Single Precision Score
12483
Half Precision Score
11582
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | YashDubey |
| Upload Date | September 30 2025 11:21 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4729
879.4 IPS |
|
|
Image Classification (HP)
|
100% |
5186
964.5 IPS |
|
|
Image Classification (Q)
|
96% |
4755
888.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
7563
122.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
8420
136.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
8151
132.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
28913
33.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
33079
38.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
32156
37.7 IPS |
|
|
Object Detection (SP)
|
100% |
4856
385.2 IPS |
|
|
Object Detection (HP)
|
100% |
5411
429.2 IPS |
|
|
Object Detection (Q)
|
92% |
4987
398.1 IPS |
|
|
Face Detection (SP)
|
100% |
12700
150.9 IPS |
|
|
Face Detection (HP)
|
100% |
17464
207.5 IPS |
|
|
Face Detection (Q)
|
100% |
13850
164.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
21069
162.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
23770
183.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
21587
168.6 IPS |
|
|
Style Transfer (SP)
|
100% |
59930
77.0 IPS |
|
|
Style Transfer (HP)
|
100% |
72290
92.9 IPS |
|
|
Style Transfer (Q)
|
96% |
69903
90.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12074
445.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12535
462.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10923
403.3 IPS |
|
|
Text Classification (SP)
|
100% |
3263
4.36 KIPS |
|
|
Text Classification (HP)
|
99% |
5727
7.64 KIPS |
|
|
Text Classification (Q)
|
93% |
5589
7.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
5030
86.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5460
94.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5479
94.7 IPS |
