Mac mini (2023)
Geekbench AI Score
6805
Single Precision Score
7633
Half Precision Score
6720
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | JoaoSchlemm |
| Upload Date | March 19 2025 11:55 AM |
| Views | 14 |
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% |
3674
683.3 IPS |
|
|
Image Classification (HP)
|
100% |
3655
679.7 IPS |
|
|
Image Classification (Q)
|
97% |
3045
568.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
4054
65.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5019
81.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
5104
82.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
24668
28.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
26373
30.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
24486
28.7 IPS |
|
|
Object Detection (SP)
|
100% |
3479
275.9 IPS |
|
|
Object Detection (HP)
|
100% |
3719
295.0 IPS |
|
|
Object Detection (Q)
|
91% |
3077
245.8 IPS |
|
|
Face Detection (SP)
|
100% |
10436
124.0 IPS |
|
|
Face Detection (HP)
|
100% |
11999
142.6 IPS |
|
|
Face Detection (Q)
|
100% |
8277
98.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
16791
129.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
17903
137.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
14987
117.2 IPS |
|
|
Style Transfer (SP)
|
100% |
42892
55.1 IPS |
|
|
Style Transfer (HP)
|
100% |
48711
62.6 IPS |
|
|
Style Transfer (Q)
|
96% |
45497
58.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9833
363.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10148
374.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8008
295.7 IPS |
|
|
Text Classification (SP)
|
100% |
2318
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
3834
5.12 KIPS |
|
|
Text Classification (Q)
|
93% |
3823
5.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
973
16.8 IPS |
|
|
Machine Translation (HP)
|
100% |
917
15.8 IPS |
|
|
Machine Translation (Q)
|
98% |
929
16.1 IPS |
