Mac mini (2024)
Geekbench AI Score
10680
Single Precision Score
12761
Half Precision Score
12125
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | calvinh |
| Upload Date | March 17 2026 08:44 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| 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% |
5072
943.3 IPS |
|
|
Image Classification (HP)
|
100% |
5302
986.1 IPS |
|
|
Image Classification (Q)
|
96% |
5062
945.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
7548
122.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
8442
136.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
8098
131.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
28811
33.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
33067
38.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
32162
37.7 IPS |
|
|
Object Detection (SP)
|
100% |
4958
393.3 IPS |
|
|
Object Detection (HP)
|
100% |
5491
435.5 IPS |
|
|
Object Detection (Q)
|
91% |
5406
432.1 IPS |
|
|
Face Detection (SP)
|
100% |
13024
154.8 IPS |
|
|
Face Detection (HP)
|
100% |
18236
216.7 IPS |
|
|
Face Detection (Q)
|
100% |
16913
201.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
20967
161.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
23781
183.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
22273
174.3 IPS |
|
|
Style Transfer (SP)
|
100% |
60998
78.4 IPS |
|
|
Style Transfer (HP)
|
100% |
72933
93.8 IPS |
|
|
Style Transfer (Q)
|
96% |
69897
90.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11852
437.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12405
458.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10749
396.9 IPS |
|
|
Text Classification (SP)
|
100% |
3227
4.31 KIPS |
|
|
Text Classification (HP)
|
99% |
5872
7.84 KIPS |
|
|
Text Classification (Q)
|
93% |
5973
8.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
5546
95.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6117
105.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5702
98.5 IPS |
