Mac mini (2023)
Geekbench AI Score
3471
Single Precision Score
6058
Half Precision Score
4968
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | macbookjoe |
| Upload Date | September 15 2025 06:43 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1397
259.7 IPS |
|
|
Image Classification (HP)
|
100% |
2537
471.8 IPS |
|
|
Image Classification (Q)
|
96% |
1776
331.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1483
24.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2421
39.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2815
45.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6847
7.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
15348
17.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
13196
15.5 IPS |
|
|
Object Detection (SP)
|
100% |
1551
123.0 IPS |
|
|
Object Detection (HP)
|
97% |
2845
226.5 IPS |
|
|
Object Detection (Q)
|
94% |
2049
163.3 IPS |
|
|
Face Detection (SP)
|
100% |
3050
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
5886
69.9 IPS |
|
|
Face Detection (Q)
|
100% |
3532
42.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5597
43.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
11173
86.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7907
61.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18773
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
29560
38.0 IPS |
|
|
Style Transfer (Q)
|
96% |
24542
31.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4070
150.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5024
185.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3776
139.4 IPS |
|
|
Text Classification (SP)
|
100% |
2355
3.14 KIPS |
|
|
Text Classification (HP)
|
100% |
3940
5.26 KIPS |
|
|
Text Classification (Q)
|
93% |
4064
5.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
3758
64.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6453
111.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6445
111.4 IPS |
