Mac mini (2023) - 26.0.1 Mac mini (2023)
Geekbench AI Score
4084
Single Precision Score
6905
Half Precision Score
5460
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | MacXe4ro |
| Upload Date | October 03 2025 01:15 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| Model | Mac mini (2023) |
| Model ID | Mac14,12 |
| Motherboard | Mac14,12 |
| CPU Information | |
|---|---|
| Name | Apple M2 Pro |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M2 Pro |
| Base Frequency | 3.48 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1357
252.3 IPS |
|
|
Image Classification (HP)
|
100% |
2258
420.0 IPS |
|
|
Image Classification (Q)
|
96% |
1656
309.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1650
26.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2448
39.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2867
46.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11960
14.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
26524
30.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
20406
23.9 IPS |
|
|
Object Detection (SP)
|
100% |
1651
131.0 IPS |
|
|
Object Detection (HP)
|
97% |
2718
216.4 IPS |
|
|
Object Detection (Q)
|
94% |
2009
160.1 IPS |
|
|
Face Detection (SP)
|
100% |
3558
42.3 IPS |
|
|
Face Detection (HP)
|
100% |
6043
71.8 IPS |
|
|
Face Detection (Q)
|
100% |
3464
41.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6053
46.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
11710
90.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
8136
63.6 IPS |
|
|
Style Transfer (SP)
|
100% |
25512
32.8 IPS |
|
|
Style Transfer (HP)
|
100% |
40661
52.3 IPS |
|
|
Style Transfer (Q)
|
96% |
32002
41.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4975
183.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6629
244.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4531
167.3 IPS |
|
|
Text Classification (SP)
|
100% |
2479
3.31 KIPS |
|
|
Text Classification (HP)
|
99% |
4167
5.56 KIPS |
|
|
Text Classification (Q)
|
93% |
4193
5.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
4319
74.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7782
134.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7063
122.1 IPS |
