Mac mini (2023)
Geekbench AI Score
3319
Single Precision Score
6099
Half Precision Score
4993
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | GeroGuitarrero |
| Upload Date | October 27 2025 03:16 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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% |
1276
237.4 IPS |
|
|
Image Classification (HP)
|
100% |
2531
470.7 IPS |
|
|
Image Classification (Q)
|
96% |
1779
332.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1451
23.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2455
39.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2808
45.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6334
7.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
15221
17.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
13169
15.4 IPS |
|
|
Object Detection (SP)
|
100% |
1437
114.0 IPS |
|
|
Object Detection (HP)
|
97% |
2868
228.3 IPS |
|
|
Object Detection (Q)
|
94% |
2092
166.7 IPS |
|
|
Face Detection (SP)
|
100% |
3016
35.8 IPS |
|
|
Face Detection (HP)
|
100% |
6136
72.9 IPS |
|
|
Face Detection (Q)
|
100% |
3568
42.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5433
41.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
11217
86.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7925
62.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18198
23.4 IPS |
|
|
Style Transfer (HP)
|
100% |
28792
37.0 IPS |
|
|
Style Transfer (Q)
|
96% |
23948
30.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3817
140.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5046
186.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3783
139.7 IPS |
|
|
Text Classification (SP)
|
100% |
2340
3.12 KIPS |
|
|
Text Classification (HP)
|
99% |
3821
5.10 KIPS |
|
|
Text Classification (Q)
|
93% |
3798
5.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
3624
62.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6875
118.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7204
124.5 IPS |
