Mac mini (2023)
Geekbench AI Score
9884
Single Precision Score
11042
Half Precision Score
10162
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| Upload Date | July 12 2025 05:25 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
5058
940.5 IPS |
|
|
Image Classification (HP)
|
100% |
5095
947.4 IPS |
|
|
Image Classification (Q)
|
96% |
4807
897.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
8230
133.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
8122
131.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
7748
125.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
37008
43.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
40447
47.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
39144
45.8 IPS |
|
|
Object Detection (SP)
|
100% |
4809
381.4 IPS |
|
|
Object Detection (HP)
|
100% |
4885
387.5 IPS |
|
|
Object Detection (Q)
|
92% |
4486
358.1 IPS |
|
|
Face Detection (SP)
|
100% |
16575
196.9 IPS |
|
|
Face Detection (HP)
|
100% |
17492
207.8 IPS |
|
|
Face Detection (Q)
|
100% |
14614
173.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
23921
184.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
25185
194.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
23063
180.1 IPS |
|
|
Style Transfer (SP)
|
100% |
68608
88.2 IPS |
|
|
Style Transfer (HP)
|
100% |
75144
96.6 IPS |
|
|
Style Transfer (Q)
|
96% |
73937
95.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13095
483.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14072
519.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12415
458.4 IPS |
|
|
Text Classification (SP)
|
100% |
2357
3.15 KIPS |
|
|
Text Classification (HP)
|
100% |
4058
5.42 KIPS |
|
|
Text Classification (Q)
|
93% |
4070
5.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
1431
24.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1744
30.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1426
24.7 IPS |
