Mac mini M2 Pro Mac mini (2023)
Geekbench AI Score
11089
Single Precision Score
12169
Half Precision Score
11612
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | enroscado |
| Upload Date | April 29 2025 03:40 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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% |
5569
1.04 KIPS |
|
|
Image Classification (HP)
|
100% |
5624
1.05 KIPS |
|
|
Image Classification (Q)
|
96% |
5211
973.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
9300
150.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9200
149.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
8741
141.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
44981
52.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
47510
55.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
45894
53.8 IPS |
|
|
Object Detection (SP)
|
100% |
5002
396.7 IPS |
|
|
Object Detection (HP)
|
100% |
5141
407.8 IPS |
|
|
Object Detection (Q)
|
92% |
4619
368.7 IPS |
|
|
Face Detection (SP)
|
100% |
17828
211.8 IPS |
|
|
Face Detection (HP)
|
100% |
19517
231.9 IPS |
|
|
Face Detection (Q)
|
100% |
16281
193.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
25709
198.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
26810
206.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
24818
194.1 IPS |
|
|
Style Transfer (SP)
|
100% |
79886
102.7 IPS |
|
|
Style Transfer (HP)
|
100% |
85525
109.9 IPS |
|
|
Style Transfer (Q)
|
96% |
83388
107.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17516
646.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18168
670.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16326
602.8 IPS |
|
|
Text Classification (SP)
|
100% |
2360
3.15 KIPS |
|
|
Text Classification (HP)
|
100% |
4184
5.59 KIPS |
|
|
Text Classification (Q)
|
93% |
4112
5.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
1595
27.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1657
28.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2042
35.3 IPS |
