Mac mini (2023)
Geekbench AI Score
2971
Single Precision Score
5515
Half Precision Score
4507
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | thevinay |
| Upload Date | July 02 2025 02:11 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
1382
257.0 IPS |
|
|
Image Classification (HP)
|
100% |
2522
469.0 IPS |
|
|
Image Classification (Q)
|
96% |
1762
329.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1485
24.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2430
39.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2785
45.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6506
7.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
13884
16.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
12854
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1462
116.0 IPS |
|
|
Object Detection (HP)
|
97% |
2666
212.2 IPS |
|
|
Object Detection (Q)
|
94% |
2056
163.9 IPS |
|
|
Face Detection (SP)
|
100% |
3098
36.8 IPS |
|
|
Face Detection (HP)
|
100% |
5671
67.4 IPS |
|
|
Face Detection (Q)
|
100% |
3349
39.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4398
33.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
9063
70.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
6192
48.4 IPS |
|
|
Style Transfer (SP)
|
100% |
14523
18.7 IPS |
|
|
Style Transfer (HP)
|
100% |
28558
36.7 IPS |
|
|
Style Transfer (Q)
|
96% |
23374
30.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3154
116.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4351
160.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2998
110.7 IPS |
|
|
Text Classification (SP)
|
100% |
2130
2.84 KIPS |
|
|
Text Classification (HP)
|
100% |
3710
4.95 KIPS |
|
|
Text Classification (Q)
|
93% |
3722
4.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
2069
35.6 IPS |
|
|
Machine Translation (HP)
|
98% |
4848
83.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4931
85.2 IPS |
