Mac mini (2024)
Geekbench AI Score
4843
Single Precision Score
7943
Half Precision Score
6365
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | oscarbg81 |
| Upload Date | August 11 2025 07:14 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
2099
390.4 IPS |
|
|
Image Classification (HP)
|
100% |
3333
619.9 IPS |
|
|
Image Classification (Q)
|
96% |
2338
436.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2140
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3169
51.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3627
58.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9955
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19429
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16747
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
2460
195.2 IPS |
|
|
Object Detection (HP)
|
97% |
3830
304.9 IPS |
|
|
Object Detection (Q)
|
94% |
2747
218.9 IPS |
|
|
Face Detection (SP)
|
100% |
4235
50.3 IPS |
|
|
Face Detection (HP)
|
100% |
7635
90.7 IPS |
|
|
Face Detection (Q)
|
100% |
4397
52.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8656
66.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
14636
113.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
10258
80.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21294
27.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38752
49.8 IPS |
|
|
Style Transfer (Q)
|
96% |
32068
41.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6092
225.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7260
268.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4972
183.6 IPS |
|
|
Text Classification (SP)
|
100% |
3089
4.12 KIPS |
|
|
Text Classification (HP)
|
100% |
5499
7.34 KIPS |
|
|
Text Classification (Q)
|
93% |
5391
7.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
4397
75.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7365
127.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7223
124.8 IPS |
