Mac mini (2024)
Geekbench AI Score
4975
Single Precision Score
8075
Half Precision Score
6470
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | jimmyweee |
| Upload Date | November 14 2025 02:13 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2115
393.3 IPS |
|
|
Image Classification (HP)
|
100% |
3357
624.2 IPS |
|
|
Image Classification (Q)
|
96% |
2334
435.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2087
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3210
52.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3560
57.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10015
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19470
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16763
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
2477
196.5 IPS |
|
|
Object Detection (HP)
|
97% |
3808
303.2 IPS |
|
|
Object Detection (Q)
|
94% |
2748
219.1 IPS |
|
|
Face Detection (SP)
|
100% |
4314
51.3 IPS |
|
|
Face Detection (HP)
|
100% |
7835
93.1 IPS |
|
|
Face Detection (Q)
|
100% |
4512
53.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8576
66.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14149
109.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
10014
78.2 IPS |
|
|
Style Transfer (SP)
|
100% |
24396
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
39018
50.2 IPS |
|
|
Style Transfer (Q)
|
96% |
32035
41.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6066
224.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7213
266.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4931
182.1 IPS |
|
|
Text Classification (SP)
|
100% |
3427
4.57 KIPS |
|
|
Text Classification (HP)
|
99% |
5878
7.85 KIPS |
|
|
Text Classification (Q)
|
93% |
5802
7.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
4524
77.9 IPS |
|
|
Machine Translation (HP)
|
98% |
8046
139.0 IPS |
|
|
Machine Translation (Q)
|
98% |
8116
140.3 IPS |
