Mac mini (2023)
Geekbench AI Score
7968
Single Precision Score
8259
Half Precision Score
2654
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | Meddog |
| Upload Date | March 27 2025 03:39 AM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 14.7.4 (Build 23H420) |
| Model | Mac mini (2023) |
| Model ID | Mac14,12 |
| Motherboard | Mac14,12 |
| CPU Information | |
|---|---|
| Name | Apple M2 Pro |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M2 Pro |
| Base Frequency | 3.49 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4782
889.3 IPS |
|
|
Image Classification (HP)
|
100% |
4783
889.6 IPS |
|
|
Image Classification (Q)
|
97% |
3672
685.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
7125
115.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
7118
115.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
6881
111.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
36684
42.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
38820
45.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
35137
41.1 IPS |
|
|
Object Detection (SP)
|
100% |
4521
358.6 IPS |
|
|
Object Detection (HP)
|
100% |
4625
366.9 IPS |
|
|
Object Detection (Q)
|
92% |
3797
303.1 IPS |
|
|
Face Detection (SP)
|
100% |
15118
179.6 IPS |
|
|
Face Detection (HP)
|
100% |
15894
188.8 IPS |
|
|
Face Detection (Q)
|
100% |
10651
126.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
23567
181.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
24279
187.1 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
146.8 IPS |
|
|
Style Transfer (SP)
|
100% |
67876
87.3 IPS |
|
|
Style Transfer (HP)
|
100% |
74043
95.2 IPS |
|
|
Style Transfer (Q)
|
96% |
68527
88.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13279
490.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13881
512.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10484
387.1 IPS |
|
|
Text Classification (SP)
|
100% |
631
842.3 IPS |
|
|
Text Classification (HP)
|
100% |
634
846.9 IPS |
|
|
Text Classification (Q)
|
93% |
631
847.1 IPS |
|
|
Machine Translation (SP)
|
100% |
902
15.5 IPS |
|
|
Machine Translation (HP)
|
100% |
961
16.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1068
18.5 IPS |
