Mac mini (2023)
Geekbench AI Score
1971
Single Precision Score
1981
Half Precision Score
1131
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | gefrancis |
| Upload Date | January 31 2026 06:14 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 14.1.1 (Build 23B81) |
| 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 | 3.16 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1046
194.5 IPS |
|
|
Image Classification (HP)
|
100% |
923
171.7 IPS |
|
|
Image Classification (Q)
|
97% |
387
72.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
661
10.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
577
9.35 IPS |
|
|
Image Segmentation (Q)
|
99% |
475
7.71 IPS |
|
|
Pose Estimation (SP)
|
100% |
10101
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
14033
16.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
6915
8.10 IPS |
|
|
Object Detection (SP)
|
100% |
1033
82.0 IPS |
|
|
Object Detection (HP)
|
98% |
1013
80.6 IPS |
|
|
Object Detection (Q)
|
94% |
465
37.1 IPS |
|
|
Face Detection (SP)
|
100% |
1793
21.3 IPS |
|
|
Face Detection (HP)
|
100% |
1683
20.0 IPS |
|
|
Face Detection (Q)
|
100% |
627
7.45 IPS |
|
|
Depth Estimation (SP)
|
100% |
3447
26.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
3371
26.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
1722
13.4 IPS |
|
|
Style Transfer (SP)
|
100% |
13204
17.0 IPS |
|
|
Style Transfer (HP)
|
100% |
13742
17.7 IPS |
|
|
Style Transfer (Q)
|
96% |
7849
10.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1885
69.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1709
63.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
851
31.4 IPS |
|
|
Text Classification (SP)
|
100% |
434
578.9 IPS |
|
|
Text Classification (HP)
|
100% |
458
611.4 IPS |
|
|
Text Classification (Q)
|
93% |
411
552.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1841
31.7 IPS |
|
|
Machine Translation (HP)
|
96% |
2021
35.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1971
34.1 IPS |
