Mac mini (2024)
Geekbench AI Score
10567
Single Precision Score
12200
Half Precision Score
11473
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | Brock_Suire |
| Upload Date | December 13 2025 12:26 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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% |
4972
924.7 IPS |
|
|
Image Classification (HP)
|
100% |
5386
1.00 KIPS |
|
|
Image Classification (Q)
|
96% |
4826
901.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
7627
123.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
8507
137.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
8061
130.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
29288
34.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
33378
38.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
32605
38.2 IPS |
|
|
Object Detection (SP)
|
100% |
5071
402.2 IPS |
|
|
Object Detection (HP)
|
100% |
5660
449.0 IPS |
|
|
Object Detection (Q)
|
92% |
5233
417.7 IPS |
|
|
Face Detection (SP)
|
100% |
13187
156.7 IPS |
|
|
Face Detection (HP)
|
100% |
17714
210.5 IPS |
|
|
Face Detection (Q)
|
100% |
14226
169.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
22135
170.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
24658
190.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
22598
176.5 IPS |
|
|
Style Transfer (SP)
|
100% |
59780
76.8 IPS |
|
|
Style Transfer (HP)
|
100% |
73533
94.5 IPS |
|
|
Style Transfer (Q)
|
96% |
71530
92.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13035
481.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13300
491.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11548
426.4 IPS |
|
|
Text Classification (SP)
|
100% |
3346
4.47 KIPS |
|
|
Text Classification (HP)
|
99% |
5841
7.80 KIPS |
|
|
Text Classification (Q)
|
93% |
5867
7.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
4052
69.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3384
58.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3824
66.1 IPS |
