Mac mini (2023)
Geekbench AI Score
3516
Single Precision Score
26503
Half Precision Score
29873
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | April 13 2025 12:57 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1411
262.4 IPS |
|
|
Image Classification (HP)
|
100% |
14986
2.79 KIPS |
|
|
Image Classification (Q)
|
96% |
16062
3.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1545
25.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
19124
310.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
23998
389.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6909
8.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
103178
120.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
104676
122.7 IPS |
|
|
Object Detection (SP)
|
100% |
1564
124.1 IPS |
|
|
Object Detection (HP)
|
99% |
15682
1.25 KIPS |
|
|
Object Detection (Q)
|
91% |
18103
1.45 KIPS |
|
|
Face Detection (SP)
|
100% |
3215
38.2 IPS |
|
|
Face Detection (HP)
|
100% |
33040
392.6 IPS |
|
|
Face Detection (Q)
|
100% |
42719
507.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5868
45.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
83718
645.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
111828
873.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18836
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
203223
261.2 IPS |
|
|
Style Transfer (Q)
|
96% |
193412
249.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4161
153.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41135
1.52 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49622
1.83 KIPS |
|
|
Text Classification (SP)
|
100% |
2330
3.11 KIPS |
|
|
Text Classification (HP)
|
100% |
3798
5.07 KIPS |
|
|
Text Classification (Q)
|
93% |
3851
5.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
3560
61.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4199
72.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4389
75.8 IPS |
