Mac mini (2023)
Geekbench AI Score
3516
Single Precision Score
6337
Half Precision Score
5150
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | cwebb15 |
| Upload Date | April 07 2026 10:54 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E246) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1319
245.3 IPS |
|
|
Image Classification (HP)
|
100% |
2544
473.1 IPS |
|
|
Image Classification (Q)
|
96% |
1775
331.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1438
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2430
39.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2789
45.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6180
7.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
14917
17.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
12845
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1419
112.5 IPS |
|
|
Object Detection (HP)
|
97% |
2874
228.8 IPS |
|
|
Object Detection (Q)
|
94% |
2061
164.3 IPS |
|
|
Face Detection (SP)
|
100% |
3054
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
6030
71.7 IPS |
|
|
Face Detection (Q)
|
100% |
3506
41.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5364
41.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
11091
85.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7819
61.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18023
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
28952
37.2 IPS |
|
|
Style Transfer (Q)
|
96% |
23993
31.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3721
137.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4729
174.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3515
129.8 IPS |
|
|
Text Classification (SP)
|
99% |
4362
5.82 KIPS |
|
|
Text Classification (HP)
|
100% |
6717
8.97 KIPS |
|
|
Text Classification (Q)
|
92% |
6789
9.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
3624
62.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6412
110.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6381
110.3 IPS |
