Mac mini (2023) 26.0.1 NE Mac mini (2023)
Geekbench AI Score
4079
Single Precision Score
27857
Half Precision Score
31028
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | MacXe4ro |
| Upload Date | October 03 2025 01:12 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| Model | Mac mini (2023) |
| Model ID | Mac14,12 |
| Motherboard | Mac14,12 |
| CPU Information | |
|---|---|
| Name | Apple M2 Pro |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M2 Pro |
| Base Frequency | 3.47 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1357
252.3 IPS |
|
|
Image Classification (HP)
|
100% |
14932
2.78 KIPS |
|
|
Image Classification (Q)
|
96% |
18323
3.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1656
26.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
20134
326.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
24934
404.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11912
13.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
107007
124.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
106411
124.7 IPS |
|
|
Object Detection (SP)
|
100% |
1653
131.1 IPS |
|
|
Object Detection (HP)
|
99% |
16277
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
17839
1.43 KIPS |
|
|
Face Detection (SP)
|
100% |
3561
42.3 IPS |
|
|
Face Detection (HP)
|
100% |
36950
439.0 IPS |
|
|
Face Detection (Q)
|
100% |
47843
568.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6064
46.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
89000
685.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
111658
872.6 IPS |
|
|
Style Transfer (SP)
|
100% |
25462
32.7 IPS |
|
|
Style Transfer (HP)
|
100% |
204783
263.3 IPS |
|
|
Style Transfer (Q)
|
96% |
193130
249.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4923
181.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44919
1.66 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50120
1.85 KIPS |
|
|
Text Classification (SP)
|
100% |
2482
3.31 KIPS |
|
|
Text Classification (HP)
|
99% |
4229
5.65 KIPS |
|
|
Text Classification (Q)
|
93% |
4196
5.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
4294
74.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4202
72.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4396
76.0 IPS |
