Mac mini (2024)
Geekbench AI Score
8388
Single Precision Score
10257
Half Precision Score
9213
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | muddybulldog |
| Upload Date | January 15 2025 01:25 AM |
| Views | 4 |
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% |
4744
882.2 IPS |
|
|
Image Classification (HP)
|
100% |
5100
948.5 IPS |
|
|
Image Classification (Q)
|
97% |
4339
809.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
4795
77.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
6942
112.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
7632
123.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
30039
35.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
32089
37.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
30557
35.8 IPS |
|
|
Object Detection (SP)
|
100% |
4981
395.1 IPS |
|
|
Object Detection (HP)
|
100% |
5534
438.9 IPS |
|
|
Object Detection (Q)
|
91% |
4671
373.2 IPS |
|
|
Face Detection (SP)
|
100% |
12868
152.9 IPS |
|
|
Face Detection (HP)
|
100% |
16239
192.9 IPS |
|
|
Face Detection (Q)
|
100% |
12451
147.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
21457
165.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
23878
184.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
20477
160.1 IPS |
|
|
Style Transfer (SP)
|
100% |
58539
75.3 IPS |
|
|
Style Transfer (HP)
|
100% |
72385
93.1 IPS |
|
|
Style Transfer (Q)
|
96% |
67799
87.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12547
463.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13729
506.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10958
404.6 IPS |
|
|
Text Classification (SP)
|
100% |
2953
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5566
7.43 KIPS |
|
|
Text Classification (Q)
|
93% |
5552
7.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
846
14.6 IPS |
|
|
Machine Translation (HP)
|
100% |
956
16.5 IPS |
|
|
Machine Translation (Q)
|
98% |
887
15.3 IPS |
