Mac mini (2023)
Geekbench AI Score
3406
Single Precision Score
5978
Half Precision Score
4858
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | marcelo10igner |
| Upload Date | December 19 2025 11:20 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.7.4 (Build 24G503) |
| 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% |
1370
254.9 IPS |
|
|
Image Classification (HP)
|
100% |
2465
458.4 IPS |
|
|
Image Classification (Q)
|
96% |
1723
321.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1468
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2392
38.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2755
44.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6824
7.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
15358
17.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
13152
15.4 IPS |
|
|
Object Detection (SP)
|
100% |
1535
121.8 IPS |
|
|
Object Detection (HP)
|
97% |
2806
223.4 IPS |
|
|
Object Detection (Q)
|
94% |
2046
163.1 IPS |
|
|
Face Detection (SP)
|
100% |
3069
36.5 IPS |
|
|
Face Detection (HP)
|
100% |
5952
70.7 IPS |
|
|
Face Detection (Q)
|
100% |
3467
41.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5539
42.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10947
84.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7669
60.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18611
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
29384
37.8 IPS |
|
|
Style Transfer (Q)
|
96% |
24207
31.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3870
142.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5005
184.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3688
136.2 IPS |
|
|
Text Classification (SP)
|
100% |
2323
3.10 KIPS |
|
|
Text Classification (HP)
|
100% |
3894
5.20 KIPS |
|
|
Text Classification (Q)
|
93% |
3849
5.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
3510
60.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6156
106.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6280
108.5 IPS |
