Mac mini (2023)
Geekbench AI Score
6582
Single Precision Score
7465
Half Precision Score
7196
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | NathanJohnNJ |
| Upload Date | October 08 2025 02:00 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B5042k) |
| Model | Mac mini (2023) |
| Model ID | Mac14,3 |
| Motherboard | Mac14,3 |
| CPU Information | |
|---|---|
| Name | Apple M2 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M2 |
| Base Frequency | 3.11 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2221
413.1 IPS |
|
|
Image Classification (HP)
|
100% |
2196
408.5 IPS |
|
|
Image Classification (Q)
|
96% |
1913
357.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
5167
83.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
5215
84.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
5121
83.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
22060
25.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
24914
29.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
23633
27.7 IPS |
|
|
Object Detection (SP)
|
100% |
2190
173.7 IPS |
|
|
Object Detection (HP)
|
100% |
2447
194.1 IPS |
|
|
Object Detection (Q)
|
92% |
3102
247.6 IPS |
|
|
Face Detection (SP)
|
100% |
9292
110.4 IPS |
|
|
Face Detection (HP)
|
100% |
11212
133.2 IPS |
|
|
Face Detection (Q)
|
100% |
9307
110.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
15732
121.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
17477
134.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
15869
123.9 IPS |
|
|
Style Transfer (SP)
|
100% |
41117
52.9 IPS |
|
|
Style Transfer (HP)
|
100% |
48021
61.7 IPS |
|
|
Style Transfer (Q)
|
96% |
46229
59.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8983
331.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8994
332.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8749
323.1 IPS |
|
|
Text Classification (SP)
|
100% |
2066
2.76 KIPS |
|
|
Text Classification (HP)
|
99% |
3404
4.54 KIPS |
|
|
Text Classification (Q)
|
93% |
3399
4.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
2471
42.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2674
46.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2554
44.1 IPS |
