Mac mini (2023)
Geekbench AI Score
3464
Single Precision Score
6000
Half Precision Score
4889
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | sw0000 |
| Upload Date | January 27 2025 06:03 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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 | 3.47 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1399
260.2 IPS |
|
|
Image Classification (HP)
|
100% |
2536
471.6 IPS |
|
|
Image Classification (Q)
|
96% |
1780
332.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1534
24.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2473
40.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2882
46.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6858
8.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
14983
17.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
13005
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1549
122.9 IPS |
|
|
Object Detection (HP)
|
97% |
2897
230.7 IPS |
|
|
Object Detection (Q)
|
94% |
2101
167.4 IPS |
|
|
Face Detection (SP)
|
100% |
3101
36.8 IPS |
|
|
Face Detection (HP)
|
100% |
6057
72.0 IPS |
|
|
Face Detection (Q)
|
100% |
3574
42.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5774
44.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
11784
91.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
8138
63.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18566
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
28606
36.8 IPS |
|
|
Style Transfer (Q)
|
96% |
23967
30.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4119
152.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4875
180.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3648
134.7 IPS |
|
|
Text Classification (SP)
|
100% |
2237
2.99 KIPS |
|
|
Text Classification (HP)
|
100% |
3756
5.01 KIPS |
|
|
Text Classification (Q)
|
93% |
3737
5.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
3570
61.5 IPS |
|
|
Machine Translation (HP)
|
98% |
5947
102.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5866
101.4 IPS |
