Mac mini (2023)
Geekbench AI Score
4079
Single Precision Score
6558
Half Precision Score
5279
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| Upload Date | July 12 2025 05:21 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
1411
262.3 IPS |
|
|
Image Classification (HP)
|
100% |
2246
417.8 IPS |
|
|
Image Classification (Q)
|
96% |
1658
309.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1602
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2397
38.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2805
45.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
12630
14.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
25157
29.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
19249
22.6 IPS |
|
|
Object Detection (SP)
|
100% |
1648
130.7 IPS |
|
|
Object Detection (HP)
|
97% |
2627
209.2 IPS |
|
|
Object Detection (Q)
|
94% |
1958
156.1 IPS |
|
|
Face Detection (SP)
|
100% |
3447
41.0 IPS |
|
|
Face Detection (HP)
|
100% |
5666
67.3 IPS |
|
|
Face Detection (Q)
|
100% |
3308
39.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6156
47.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
10786
83.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7729
60.4 IPS |
|
|
Style Transfer (SP)
|
100% |
24737
31.8 IPS |
|
|
Style Transfer (HP)
|
100% |
36983
47.5 IPS |
|
|
Style Transfer (Q)
|
96% |
30391
39.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5060
186.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6391
236.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4514
166.7 IPS |
|
|
Text Classification (SP)
|
100% |
2362
3.15 KIPS |
|
|
Text Classification (HP)
|
100% |
4125
5.51 KIPS |
|
|
Text Classification (Q)
|
93% |
4116
5.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
4323
74.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6951
120.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6651
114.9 IPS |
