Mac mini (2024)
Geekbench AI Score
4941
Single Precision Score
8057
Half Precision Score
6487
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | natkat |
| Upload Date | February 07 2026 11:07 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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 | 4.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2105
391.4 IPS |
|
|
Image Classification (HP)
|
100% |
3403
632.8 IPS |
|
|
Image Classification (Q)
|
96% |
2359
440.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2080
33.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3212
52.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3562
57.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9977
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19396
22.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16734
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
2465
195.6 IPS |
|
|
Object Detection (HP)
|
97% |
3792
301.9 IPS |
|
|
Object Detection (Q)
|
94% |
2740
218.4 IPS |
|
|
Face Detection (SP)
|
100% |
4308
51.2 IPS |
|
|
Face Detection (HP)
|
100% |
7821
92.9 IPS |
|
|
Face Detection (Q)
|
100% |
4518
53.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8598
66.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14135
109.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10005
78.1 IPS |
|
|
Style Transfer (SP)
|
100% |
24265
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
38852
49.9 IPS |
|
|
Style Transfer (Q)
|
96% |
31946
41.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6032
222.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7165
264.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4925
181.9 IPS |
|
|
Text Classification (SP)
|
100% |
3286
4.39 KIPS |
|
|
Text Classification (HP)
|
99% |
5809
7.75 KIPS |
|
|
Text Classification (Q)
|
93% |
5981
8.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
4528
78.0 IPS |
|
|
Machine Translation (HP)
|
98% |
8024
138.6 IPS |
|
|
Machine Translation (Q)
|
98% |
8056
139.2 IPS |
