Mac mini (2024)
Geekbench AI Score
5070
Single Precision Score
8336
Half Precision Score
6667
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | Brock_Suire |
| Upload Date | March 31 2026 10:27 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E246) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2059
382.9 IPS |
|
|
Image Classification (HP)
|
100% |
3374
627.4 IPS |
|
|
Image Classification (Q)
|
96% |
2344
437.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2093
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3121
50.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3431
55.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8522
9.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
19081
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16451
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2454
194.7 IPS |
|
|
Object Detection (HP)
|
97% |
3864
307.6 IPS |
|
|
Object Detection (Q)
|
94% |
2760
220.0 IPS |
|
|
Face Detection (SP)
|
100% |
4499
53.5 IPS |
|
|
Face Detection (HP)
|
100% |
7743
92.0 IPS |
|
|
Face Detection (Q)
|
100% |
4462
53.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8123
62.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
13846
107.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9932
77.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22843
29.4 IPS |
|
|
Style Transfer (HP)
|
100% |
39095
50.3 IPS |
|
|
Style Transfer (Q)
|
96% |
31452
40.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5198
192.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6909
255.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4879
180.2 IPS |
|
|
Text Classification (SP)
|
99% |
6455
8.62 KIPS |
|
|
Text Classification (HP)
|
99% |
10127
13.5 KIPS |
|
|
Text Classification (Q)
|
92% |
10013
13.5 KIPS |
|
|
Machine Translation (SP)
|
100% |
4449
76.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7120
123.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6987
120.7 IPS |
