Mac mini (2023)
Geekbench AI Score
3498
Single Precision Score
6029
Half Precision Score
4914
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | StanH |
| Upload Date | April 01 2025 12:36 AM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1381
256.7 IPS |
|
|
Image Classification (HP)
|
100% |
2543
472.9 IPS |
|
|
Image Classification (Q)
|
96% |
1780
332.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1557
25.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2507
40.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2887
46.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6899
8.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
15026
17.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
13053
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
1573
124.7 IPS |
|
|
Object Detection (HP)
|
97% |
2906
231.3 IPS |
|
|
Object Detection (Q)
|
94% |
2107
167.9 IPS |
|
|
Face Detection (SP)
|
100% |
3189
37.9 IPS |
|
|
Face Detection (HP)
|
100% |
6092
72.4 IPS |
|
|
Face Detection (Q)
|
100% |
3600
42.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5859
45.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
11871
91.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
8256
64.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18820
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
28771
37.0 IPS |
|
|
Style Transfer (Q)
|
96% |
24070
31.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4147
153.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4917
181.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3656
135.0 IPS |
|
|
Text Classification (SP)
|
100% |
2252
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
3856
5.15 KIPS |
|
|
Text Classification (Q)
|
93% |
3798
5.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
3582
61.7 IPS |
|
|
Machine Translation (HP)
|
98% |
5784
99.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5853
101.1 IPS |
