Mac mini (2024)
Geekbench AI Score
4839
Single Precision Score
7938
Half Precision Score
6425
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | jobieh |
| Upload Date | July 15 2025 07:07 AM |
| Views | 6 |
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% |
2091
388.8 IPS |
|
|
Image Classification (HP)
|
100% |
3326
618.5 IPS |
|
|
Image Classification (Q)
|
96% |
2343
437.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2150
34.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3235
52.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3657
59.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9941
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19322
22.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
16745
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
2467
195.7 IPS |
|
|
Object Detection (HP)
|
97% |
3822
304.2 IPS |
|
|
Object Detection (Q)
|
94% |
2747
219.0 IPS |
|
|
Face Detection (SP)
|
100% |
4339
51.6 IPS |
|
|
Face Detection (HP)
|
100% |
7496
89.1 IPS |
|
|
Face Detection (Q)
|
100% |
4521
53.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8720
67.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14800
114.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
10401
81.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21718
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
38933
50.0 IPS |
|
|
Style Transfer (Q)
|
96% |
32175
41.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6099
225.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7120
262.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4987
184.1 IPS |
|
|
Text Classification (SP)
|
100% |
2878
3.84 KIPS |
|
|
Text Classification (HP)
|
100% |
5577
7.44 KIPS |
|
|
Text Classification (Q)
|
93% |
5545
7.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
4427
76.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7292
126.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7273
125.7 IPS |
