Mac mini (2023)
Geekbench AI Score
11617
Single Precision Score
12655
Half Precision Score
11633
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| Upload Date | February 01 2026 12:53 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D5112c) |
| Model | Mac mini (2023) |
| Model ID | Mac14,12 |
| Motherboard | Mac14,12 |
| CPU Information | |
|---|---|
| Name | Apple M2 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M2 Pro |
| Base Frequency | 3.48 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5265
979.1 IPS |
|
|
Image Classification (HP)
|
100% |
5298
985.3 IPS |
|
|
Image Classification (Q)
|
94% |
5101
953.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
9245
149.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9134
148.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
8850
143.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
44981
52.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
48888
57.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
47277
55.4 IPS |
|
|
Object Detection (SP)
|
100% |
4932
391.2 IPS |
|
|
Object Detection (HP)
|
100% |
4974
394.6 IPS |
|
|
Object Detection (Q)
|
91% |
4697
375.4 IPS |
|
|
Face Detection (SP)
|
100% |
18944
225.1 IPS |
|
|
Face Detection (HP)
|
100% |
20106
238.9 IPS |
|
|
Face Detection (Q)
|
100% |
18432
219.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
25707
198.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
26830
206.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
25154
196.7 IPS |
|
|
Style Transfer (SP)
|
100% |
79042
101.6 IPS |
|
|
Style Transfer (HP)
|
100% |
86562
111.3 IPS |
|
|
Style Transfer (Q)
|
96% |
84369
108.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17315
639.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18265
674.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15615
576.6 IPS |
|
|
Text Classification (SP)
|
100% |
2431
3.24 KIPS |
|
|
Text Classification (HP)
|
99% |
4002
5.34 KIPS |
|
|
Text Classification (Q)
|
93% |
4008
5.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
2560
44.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2624
45.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1850
32.0 IPS |
