Mac mini (2023)
Geekbench AI Score
6968
Single Precision Score
8010
Half Precision Score
7045
Quantized Score
Geekbench AI 1.4.0 Corporate for macOS AArch64
Result Information
| Upload Date | June 25 2025 12:46 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3630
675.0 IPS |
|
|
Image Classification (HP)
|
100% |
3582
666.2 IPS |
|
|
Image Classification (Q)
|
97% |
2982
556.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
4056
65.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
5018
81.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
5085
82.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
24490
28.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
26338
30.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
24390
28.6 IPS |
|
|
Object Detection (SP)
|
100% |
3658
290.2 IPS |
|
|
Object Detection (HP)
|
100% |
3688
292.6 IPS |
|
|
Object Detection (Q)
|
91% |
3064
244.9 IPS |
|
|
Face Detection (SP)
|
100% |
10390
123.5 IPS |
|
|
Face Detection (HP)
|
100% |
11946
142.0 IPS |
|
|
Face Detection (Q)
|
100% |
8387
99.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
16646
128.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
17791
137.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
14766
115.4 IPS |
|
|
Style Transfer (SP)
|
100% |
41994
54.0 IPS |
|
|
Style Transfer (HP)
|
100% |
48549
62.4 IPS |
|
|
Style Transfer (Q)
|
96% |
45425
58.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10165
375.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10119
373.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7974
294.4 IPS |
|
|
Text Classification (SP)
|
100% |
2327
3.11 KIPS |
|
|
Text Classification (HP)
|
100% |
3816
5.09 KIPS |
|
|
Text Classification (Q)
|
93% |
3797
5.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
1192
20.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1563
26.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1562
27.0 IPS |
