Mac mini (2024)
Geekbench AI Score
9197
Single Precision Score
10470
Half Precision Score
9928
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 10 2025 06:13 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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 | 4.40 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4694
873.0 IPS |
|
|
Image Classification (HP)
|
100% |
5237
973.9 IPS |
|
|
Image Classification (Q)
|
97% |
4387
818.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
4875
79.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
6955
112.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
7551
122.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
29882
34.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
32118
37.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
30584
35.8 IPS |
|
|
Object Detection (SP)
|
100% |
5074
402.5 IPS |
|
|
Object Detection (HP)
|
100% |
5463
433.3 IPS |
|
|
Object Detection (Q)
|
91% |
4660
372.4 IPS |
|
|
Face Detection (SP)
|
100% |
12763
151.7 IPS |
|
|
Face Detection (HP)
|
100% |
16631
197.6 IPS |
|
|
Face Detection (Q)
|
100% |
12474
148.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
21642
166.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
23824
183.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
20317
158.8 IPS |
|
|
Style Transfer (SP)
|
100% |
58564
75.3 IPS |
|
|
Style Transfer (HP)
|
100% |
72105
92.7 IPS |
|
|
Style Transfer (Q)
|
96% |
67831
87.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13110
484.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13709
506.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10943
404.1 IPS |
|
|
Text Classification (SP)
|
100% |
2988
3.99 KIPS |
|
|
Text Classification (HP)
|
100% |
5266
7.03 KIPS |
|
|
Text Classification (Q)
|
93% |
5204
6.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
1970
33.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1201
20.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2013
34.8 IPS |
