Mac mini (2023)
Geekbench AI Score
6705
Single Precision Score
7415
Half Precision Score
6741
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | aboraged307 |
| Upload Date | March 28 2025 09:32 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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 | 3.49 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3677
683.9 IPS |
|
|
Image Classification (HP)
|
100% |
3632
675.5 IPS |
|
|
Image Classification (Q)
|
97% |
3008
561.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4038
65.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
5014
81.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
5147
83.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
24535
28.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
26316
30.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
24389
28.6 IPS |
|
|
Object Detection (SP)
|
100% |
3394
269.3 IPS |
|
|
Object Detection (HP)
|
100% |
3434
272.4 IPS |
|
|
Object Detection (Q)
|
91% |
3075
245.7 IPS |
|
|
Face Detection (SP)
|
100% |
9241
109.8 IPS |
|
|
Face Detection (HP)
|
100% |
9614
114.2 IPS |
|
|
Face Detection (Q)
|
100% |
8370
99.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
16656
128.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
17878
137.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
14872
116.3 IPS |
|
|
Style Transfer (SP)
|
100% |
42531
54.7 IPS |
|
|
Style Transfer (HP)
|
100% |
48572
62.4 IPS |
|
|
Style Transfer (Q)
|
96% |
45462
58.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9848
363.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10128
374.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8011
295.8 IPS |
|
|
Text Classification (SP)
|
100% |
2352
3.14 KIPS |
|
|
Text Classification (HP)
|
100% |
3842
5.13 KIPS |
|
|
Text Classification (Q)
|
93% |
3978
5.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
980
16.9 IPS |
|
|
Machine Translation (HP)
|
100% |
940
16.2 IPS |
|
|
Machine Translation (Q)
|
98% |
926
16.0 IPS |
