Mac mini (2023)
Geekbench AI Score
3471
Single Precision Score
6094
Half Precision Score
4963
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | macbookjoe |
| Upload Date | September 15 2025 07:19 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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 | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1396
259.7 IPS |
|
|
Image Classification (HP)
|
100% |
2537
471.9 IPS |
|
|
Image Classification (Q)
|
96% |
1776
331.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1482
24.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2422
39.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2811
45.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6839
7.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
15377
17.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
13206
15.5 IPS |
|
|
Object Detection (SP)
|
100% |
1556
123.4 IPS |
|
|
Object Detection (HP)
|
97% |
2848
226.8 IPS |
|
|
Object Detection (Q)
|
94% |
2076
165.5 IPS |
|
|
Face Detection (SP)
|
100% |
3073
36.5 IPS |
|
|
Face Detection (HP)
|
100% |
6030
71.7 IPS |
|
|
Face Detection (Q)
|
100% |
3516
41.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5610
43.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
11198
86.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7918
61.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18708
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
29422
37.8 IPS |
|
|
Style Transfer (Q)
|
96% |
24485
31.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4066
150.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5040
186.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3781
139.6 IPS |
|
|
Text Classification (SP)
|
100% |
2349
3.14 KIPS |
|
|
Text Classification (HP)
|
100% |
4094
5.46 KIPS |
|
|
Text Classification (Q)
|
93% |
3989
5.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3744
64.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6409
110.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6452
111.5 IPS |
