Mac mini (2023)
Geekbench AI Score
11061
Single Precision Score
12110
Half Precision Score
10724
Quantized Score
Geekbench AI 1.4.0 Corporate for macOS AArch64
Result Information
| Upload Date | June 25 2025 12:46 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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 | 3.49 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5377
1000.0 IPS |
|
|
Image Classification (HP)
|
100% |
5369
998.4 IPS |
|
|
Image Classification (Q)
|
97% |
4566
852.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
7994
129.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
8007
129.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
7920
128.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
44924
52.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
47444
55.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
44017
51.6 IPS |
|
|
Object Detection (SP)
|
100% |
4765
377.9 IPS |
|
|
Object Detection (HP)
|
100% |
5042
400.0 IPS |
|
|
Object Detection (Q)
|
91% |
4263
340.6 IPS |
|
|
Face Detection (SP)
|
100% |
17911
212.8 IPS |
|
|
Face Detection (HP)
|
100% |
19212
228.3 IPS |
|
|
Face Detection (Q)
|
100% |
13770
163.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
25636
197.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
26546
204.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
22257
173.9 IPS |
|
|
Style Transfer (SP)
|
100% |
80192
103.1 IPS |
|
|
Style Transfer (HP)
|
100% |
85453
109.9 IPS |
|
|
Style Transfer (Q)
|
96% |
79905
103.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17416
643.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18119
669.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14691
542.5 IPS |
|
|
Text Classification (SP)
|
100% |
2301
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
4022
5.37 KIPS |
|
|
Text Classification (Q)
|
93% |
3978
5.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
2020
34.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2078
35.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2072
35.8 IPS |
