Mac mini (2023)
Geekbench AI Score
3297
Single Precision Score
6041
Half Precision Score
4924
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | NathanJohnNJ |
| Upload Date | October 08 2025 01:58 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 3.27 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1263
234.9 IPS |
|
|
Image Classification (HP)
|
100% |
2509
466.6 IPS |
|
|
Image Classification (Q)
|
96% |
1775
331.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1473
23.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2489
40.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2799
45.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6299
7.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
15153
17.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
13073
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
1404
111.4 IPS |
|
|
Object Detection (HP)
|
97% |
2811
223.8 IPS |
|
|
Object Detection (Q)
|
94% |
2049
163.3 IPS |
|
|
Face Detection (SP)
|
100% |
3028
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
6027
71.6 IPS |
|
|
Face Detection (Q)
|
100% |
3497
41.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5420
41.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
10918
84.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7725
60.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18124
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
28225
36.3 IPS |
|
|
Style Transfer (Q)
|
96% |
23610
30.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3787
139.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5086
187.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3765
139.0 IPS |
|
|
Text Classification (SP)
|
100% |
2310
3.08 KIPS |
|
|
Text Classification (HP)
|
99% |
3829
5.11 KIPS |
|
|
Text Classification (Q)
|
93% |
3816
5.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
3552
61.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6737
116.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6883
119.0 IPS |
