Mac mini (2023)
Geekbench AI Score
3400
Single Precision Score
6046
Half Precision Score
4921
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | justinwkf |
| Upload Date | July 31 2025 04:23 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1369
254.7 IPS |
|
|
Image Classification (HP)
|
100% |
2523
469.1 IPS |
|
|
Image Classification (Q)
|
96% |
1769
330.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1451
23.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2423
39.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2790
45.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6695
7.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
15104
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
13092
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
1505
119.4 IPS |
|
|
Object Detection (HP)
|
97% |
2830
225.3 IPS |
|
|
Object Detection (Q)
|
94% |
2069
164.9 IPS |
|
|
Face Detection (SP)
|
100% |
2985
35.5 IPS |
|
|
Face Detection (HP)
|
100% |
5871
69.8 IPS |
|
|
Face Detection (Q)
|
100% |
3398
40.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5463
42.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
11009
85.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7841
61.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18163
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
29265
37.6 IPS |
|
|
Style Transfer (Q)
|
96% |
24286
31.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3998
147.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5090
188.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3776
139.4 IPS |
|
|
Text Classification (SP)
|
100% |
2333
3.11 KIPS |
|
|
Text Classification (HP)
|
100% |
3935
5.25 KIPS |
|
|
Text Classification (Q)
|
93% |
3890
5.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
3744
64.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6602
114.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6557
113.3 IPS |
