Mac mini (2024)
Geekbench AI Score
10537
Single Precision Score
12444
Half Precision Score
11533
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | jmvioque |
| Upload Date | November 26 2025 09:46 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
4726
878.9 IPS |
|
|
Image Classification (HP)
|
100% |
5194
966.0 IPS |
|
|
Image Classification (Q)
|
96% |
4642
866.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
7592
123.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
8443
136.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
8107
131.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
28841
33.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
33012
38.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
32102
37.6 IPS |
|
|
Object Detection (SP)
|
100% |
4948
392.5 IPS |
|
|
Object Detection (HP)
|
100% |
5383
427.0 IPS |
|
|
Object Detection (Q)
|
92% |
5042
402.5 IPS |
|
|
Face Detection (SP)
|
100% |
12759
151.6 IPS |
|
|
Face Detection (HP)
|
100% |
17441
207.2 IPS |
|
|
Face Detection (Q)
|
100% |
13858
164.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
21036
162.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
23582
181.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
21235
165.9 IPS |
|
|
Style Transfer (SP)
|
100% |
59477
76.5 IPS |
|
|
Style Transfer (HP)
|
100% |
72131
92.7 IPS |
|
|
Style Transfer (Q)
|
96% |
69524
89.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12262
452.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12385
457.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10745
396.8 IPS |
|
|
Text Classification (SP)
|
100% |
3328
4.44 KIPS |
|
|
Text Classification (HP)
|
99% |
5758
7.68 KIPS |
|
|
Text Classification (Q)
|
93% |
5746
7.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
5062
87.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5404
93.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5413
93.5 IPS |
