Mac mini (2024)
Geekbench AI Score
4841
Single Precision Score
7942
Half Precision Score
6382
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | April 14 2025 11:18 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| 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% |
2097
389.9 IPS |
|
|
Image Classification (HP)
|
100% |
3331
619.4 IPS |
|
|
Image Classification (Q)
|
96% |
2335
436.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2176
35.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3194
51.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3639
59.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9980
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19423
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16708
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
2455
194.8 IPS |
|
|
Object Detection (HP)
|
97% |
3799
302.5 IPS |
|
|
Object Detection (Q)
|
94% |
2737
218.1 IPS |
|
|
Face Detection (SP)
|
100% |
4266
50.7 IPS |
|
|
Face Detection (HP)
|
100% |
7617
90.5 IPS |
|
|
Face Detection (Q)
|
100% |
4417
52.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8623
66.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14678
113.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10315
80.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21708
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
38586
49.6 IPS |
|
|
Style Transfer (Q)
|
96% |
31878
41.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6113
225.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7111
262.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4990
184.3 IPS |
|
|
Text Classification (SP)
|
100% |
2950
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5512
7.36 KIPS |
|
|
Text Classification (Q)
|
93% |
5453
7.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
4399
75.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7526
130.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7306
126.3 IPS |
