Mac mini (2023)
Geekbench AI Score
3470
Single Precision Score
27080
Half Precision Score
30076
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | rgba |
| Upload Date | August 21 2025 07:26 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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 | 3.49 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1392
258.9 IPS |
|
|
Image Classification (HP)
|
100% |
15152
2.82 KIPS |
|
|
Image Classification (Q)
|
96% |
16024
2.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1486
24.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
19702
319.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
24197
392.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6841
7.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
105932
123.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
105949
124.2 IPS |
|
|
Object Detection (SP)
|
100% |
1547
122.7 IPS |
|
|
Object Detection (HP)
|
99% |
15847
1.26 KIPS |
|
|
Object Detection (Q)
|
91% |
17992
1.44 KIPS |
|
|
Face Detection (SP)
|
100% |
3058
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
33682
400.2 IPS |
|
|
Face Detection (Q)
|
100% |
43023
511.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5608
43.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
87255
672.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
110848
866.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18737
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
204936
263.4 IPS |
|
|
Style Transfer (Q)
|
96% |
196398
253.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4073
150.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41063
1.52 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49861
1.84 KIPS |
|
|
Text Classification (SP)
|
100% |
2340
3.12 KIPS |
|
|
Text Classification (HP)
|
100% |
3873
5.17 KIPS |
|
|
Text Classification (Q)
|
93% |
3847
5.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
3777
65.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4419
76.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4562
78.8 IPS |
