Mac mini (2024)
Geekbench AI Score
4811
Single Precision Score
7845
Half Precision Score
6271
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | SimonMH111 |
| Upload Date | September 10 2025 01:23 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5351b) |
| 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% |
2025
376.6 IPS |
|
|
Image Classification (HP)
|
100% |
3316
616.6 IPS |
|
|
Image Classification (Q)
|
96% |
2276
425.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2095
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3181
51.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3452
56.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9749
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
19170
22.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
16418
19.2 IPS |
|
|
Object Detection (SP)
|
100% |
2389
189.5 IPS |
|
|
Object Detection (HP)
|
97% |
3725
296.6 IPS |
|
|
Object Detection (Q)
|
94% |
2646
210.9 IPS |
|
|
Face Detection (SP)
|
100% |
4090
48.6 IPS |
|
|
Face Detection (HP)
|
100% |
7345
87.3 IPS |
|
|
Face Detection (Q)
|
100% |
4310
51.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8412
64.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
13687
105.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9617
75.1 IPS |
|
|
Style Transfer (SP)
|
100% |
23392
30.1 IPS |
|
|
Style Transfer (HP)
|
100% |
38750
49.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31704
40.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5923
218.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7195
265.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5016
185.2 IPS |
|
|
Text Classification (SP)
|
100% |
3170
4.23 KIPS |
|
|
Text Classification (HP)
|
99% |
5555
7.41 KIPS |
|
|
Text Classification (Q)
|
93% |
5504
7.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
4452
76.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7531
130.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7597
131.3 IPS |
