Mac mini (2023)
Geekbench AI Score
3511
Single Precision Score
6003
Half Precision Score
4904
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | April 13 2025 12:54 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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% |
1414
262.9 IPS |
|
|
Image Classification (HP)
|
100% |
2544
473.2 IPS |
|
|
Image Classification (Q)
|
96% |
1781
332.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1536
24.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2472
40.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2890
46.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6915
8.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
15025
17.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
13067
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
1567
124.3 IPS |
|
|
Object Detection (HP)
|
97% |
2913
231.9 IPS |
|
|
Object Detection (Q)
|
94% |
2106
167.8 IPS |
|
|
Face Detection (SP)
|
100% |
3227
38.3 IPS |
|
|
Face Detection (HP)
|
100% |
6086
72.3 IPS |
|
|
Face Detection (Q)
|
100% |
3605
42.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5825
44.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
11915
92.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
8242
64.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18818
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
28662
36.8 IPS |
|
|
Style Transfer (Q)
|
96% |
24052
31.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4157
153.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4871
179.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3661
135.2 IPS |
|
|
Text Classification (SP)
|
100% |
2314
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
3791
5.06 KIPS |
|
|
Text Classification (Q)
|
93% |
3769
5.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
3559
61.3 IPS |
|
|
Machine Translation (HP)
|
98% |
5760
99.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5760
99.5 IPS |
