Mac mini (2024)
Geekbench AI Score
9925
Single Precision Score
11853
Half Precision Score
11003
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | apq |
| Upload Date | December 29 2025 06:30 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
4745
882.4 IPS |
|
|
Image Classification (HP)
|
100% |
5278
981.6 IPS |
|
|
Image Classification (Q)
|
96% |
4728
882.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
7590
123.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
7943
128.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
7914
128.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
28874
33.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
33156
38.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
32156
37.7 IPS |
|
|
Object Detection (SP)
|
100% |
4927
390.8 IPS |
|
|
Object Detection (HP)
|
100% |
5384
427.1 IPS |
|
|
Object Detection (Q)
|
92% |
5085
405.9 IPS |
|
|
Face Detection (SP)
|
100% |
12841
152.6 IPS |
|
|
Face Detection (HP)
|
100% |
16801
199.6 IPS |
|
|
Face Detection (Q)
|
100% |
13870
164.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
21364
164.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
23974
184.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
21695
169.5 IPS |
|
|
Style Transfer (SP)
|
100% |
58782
75.6 IPS |
|
|
Style Transfer (HP)
|
100% |
72432
93.1 IPS |
|
|
Style Transfer (Q)
|
96% |
70225
90.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11840
437.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12578
464.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10931
403.6 IPS |
|
|
Text Classification (SP)
|
100% |
3284
4.38 KIPS |
|
|
Text Classification (HP)
|
99% |
5849
7.81 KIPS |
|
|
Text Classification (Q)
|
93% |
5799
7.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
2889
49.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3410
58.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3176
54.9 IPS |
