Mac mini (2023)
Geekbench AI Score
7638
Single Precision Score
8655
Half Precision Score
7980
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | marcelo10igner |
| Upload Date | December 19 2025 11:23 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.7.4 (Build 24G503) |
| 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% |
3676
683.7 IPS |
|
|
Image Classification (HP)
|
100% |
3624
674.0 IPS |
|
|
Image Classification (Q)
|
96% |
3459
646.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
5675
92.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
5890
95.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
5604
90.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
24437
28.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
26763
31.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
26155
30.6 IPS |
|
|
Object Detection (SP)
|
100% |
3658
290.1 IPS |
|
|
Object Detection (HP)
|
100% |
3779
299.7 IPS |
|
|
Object Detection (Q)
|
92% |
3422
273.2 IPS |
|
|
Face Detection (SP)
|
100% |
10285
122.2 IPS |
|
|
Face Detection (HP)
|
100% |
12107
143.9 IPS |
|
|
Face Detection (Q)
|
100% |
9998
118.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
16768
129.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
18143
139.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
16778
131.1 IPS |
|
|
Style Transfer (SP)
|
100% |
42389
54.5 IPS |
|
|
Style Transfer (HP)
|
100% |
49389
63.5 IPS |
|
|
Style Transfer (Q)
|
96% |
47742
61.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9906
365.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10381
383.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9087
335.5 IPS |
|
|
Text Classification (SP)
|
100% |
2282
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3881
5.18 KIPS |
|
|
Text Classification (Q)
|
93% |
3860
5.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
2193
37.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2501
43.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2149
37.1 IPS |
