Mac mini (2024)
Geekbench AI Score
7271
Single Precision Score
9409
Half Precision Score
8797
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | nerdhunters |
| Upload Date | April 20 2026 06:47 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D125) |
| 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 | 3.97 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3446
640.8 IPS |
|
|
Image Classification (HP)
|
100% |
3900
725.3 IPS |
|
|
Image Classification (Q)
|
96% |
3630
677.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
5201
84.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
6615
107.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
6325
102.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
21935
25.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
29077
33.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
29231
34.2 IPS |
|
|
Object Detection (SP)
|
100% |
3030
240.3 IPS |
|
|
Object Detection (HP)
|
100% |
3433
272.3 IPS |
|
|
Object Detection (Q)
|
91% |
2873
229.6 IPS |
|
|
Face Detection (SP)
|
100% |
7615
90.5 IPS |
|
|
Face Detection (HP)
|
100% |
10743
127.7 IPS |
|
|
Face Detection (Q)
|
100% |
10056
119.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
13980
107.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
15758
121.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
14943
116.9 IPS |
|
|
Style Transfer (SP)
|
100% |
47795
61.4 IPS |
|
|
Style Transfer (HP)
|
100% |
59945
77.1 IPS |
|
|
Style Transfer (Q)
|
96% |
61126
78.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10046
371.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10975
405.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9154
338.0 IPS |
|
|
Text Classification (SP)
|
100% |
3152
4.21 KIPS |
|
|
Text Classification (HP)
|
99% |
5564
7.43 KIPS |
|
|
Text Classification (Q)
|
93% |
5571
7.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
2153
37.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3408
58.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3075
53.1 IPS |
