Mac mini (2024)
Geekbench AI Score
9195
Single Precision Score
11102
Half Precision Score
10031
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | January 06 2025 08:14 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| Model | Mac mini (2024) |
| Model ID | Mac16,10 |
| Motherboard | Mac16,10 |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M4 |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4634
861.8 IPS |
|
|
Image Classification (HP)
|
100% |
5009
931.4 IPS |
|
|
Image Classification (Q)
|
97% |
4349
811.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
4951
80.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
7029
113.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
7649
124.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
29777
34.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
32060
37.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
30565
35.8 IPS |
|
|
Object Detection (SP)
|
100% |
5020
398.2 IPS |
|
|
Object Detection (HP)
|
100% |
5455
432.7 IPS |
|
|
Object Detection (Q)
|
91% |
4645
371.2 IPS |
|
|
Face Detection (SP)
|
100% |
13057
155.1 IPS |
|
|
Face Detection (HP)
|
100% |
16732
198.8 IPS |
|
|
Face Detection (Q)
|
100% |
12349
146.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
21456
165.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
23744
182.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
20094
157.1 IPS |
|
|
Style Transfer (SP)
|
100% |
58807
75.6 IPS |
|
|
Style Transfer (HP)
|
100% |
71827
92.3 IPS |
|
|
Style Transfer (Q)
|
96% |
68078
87.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12519
462.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13703
506.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10759
397.3 IPS |
|
|
Text Classification (SP)
|
100% |
2933
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
5317
7.10 KIPS |
|
|
Text Classification (Q)
|
93% |
5406
7.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
2083
35.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2223
38.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2223
38.4 IPS |
