Mac mini (2023)
Geekbench AI Score
3472
Single Precision Score
6072
Half Precision Score
4966
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | pesu |
| Upload Date | January 03 2026 09:43 AM |
| Views | 7 |
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% |
1395
259.5 IPS |
|
|
Image Classification (HP)
|
100% |
2533
471.0 IPS |
|
|
Image Classification (Q)
|
96% |
1779
332.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1484
24.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2421
39.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2817
45.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6857
8.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
15411
18.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
13224
15.5 IPS |
|
|
Object Detection (SP)
|
100% |
1551
123.1 IPS |
|
|
Object Detection (HP)
|
97% |
2849
226.8 IPS |
|
|
Object Detection (Q)
|
94% |
2083
166.1 IPS |
|
|
Face Detection (SP)
|
100% |
3105
36.9 IPS |
|
|
Face Detection (HP)
|
100% |
6071
72.1 IPS |
|
|
Face Detection (Q)
|
100% |
3513
41.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5609
43.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
11218
86.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7926
62.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18775
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
29554
38.0 IPS |
|
|
Style Transfer (Q)
|
96% |
24509
31.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4074
150.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5017
185.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3781
139.6 IPS |
|
|
Text Classification (SP)
|
100% |
2322
3.10 KIPS |
|
|
Text Classification (HP)
|
100% |
3920
5.23 KIPS |
|
|
Text Classification (Q)
|
93% |
3995
5.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3741
64.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6401
110.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6411
110.8 IPS |
