Mac mini (2023) M2 - CPU Mac mini (2023)
Geekbench AI Score
3363
Single Precision Score
5850
Half Precision Score
4699
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | thomasS |
| Upload Date | March 19 2026 11:46 AM |
| Views | 7 |
| Notes | test run on CPU |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.7.3 (Build 24G419) |
| 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 | 3.47 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1388
258.2 IPS |
|
|
Image Classification (HP)
|
100% |
2517
468.1 IPS |
|
|
Image Classification (Q)
|
96% |
1778
332.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1427
23.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2304
37.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2615
42.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6699
7.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
14996
17.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12685
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
1453
115.2 IPS |
|
|
Object Detection (HP)
|
97% |
2640
210.2 IPS |
|
|
Object Detection (Q)
|
94% |
1877
149.6 IPS |
|
|
Face Detection (SP)
|
100% |
2980
35.4 IPS |
|
|
Face Detection (HP)
|
100% |
5415
64.3 IPS |
|
|
Face Detection (Q)
|
100% |
3131
37.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5374
41.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
10614
82.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7307
57.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18046
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
28249
36.3 IPS |
|
|
Style Transfer (Q)
|
96% |
23202
29.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4025
148.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5076
187.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3636
134.2 IPS |
|
|
Text Classification (SP)
|
100% |
2306
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
3972
5.30 KIPS |
|
|
Text Classification (Q)
|
93% |
3949
5.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
3582
61.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6247
107.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6231
107.7 IPS |
