Mac mini (2024)
Geekbench AI Score
4743
Single Precision Score
7798
Half Precision Score
6303
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | January 04 2025 04:19 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2031
377.6 IPS |
|
|
Image Classification (HP)
|
100% |
3264
607.1 IPS |
|
|
Image Classification (Q)
|
96% |
2300
429.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2107
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3170
51.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3628
58.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10055
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19029
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16537
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2291
181.7 IPS |
|
|
Object Detection (HP)
|
97% |
3762
299.5 IPS |
|
|
Object Detection (Q)
|
94% |
2715
216.4 IPS |
|
|
Face Detection (SP)
|
100% |
3894
46.3 IPS |
|
|
Face Detection (HP)
|
100% |
7540
89.6 IPS |
|
|
Face Detection (Q)
|
100% |
4421
52.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8324
64.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14711
113.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
10276
80.2 IPS |
|
|
Style Transfer (SP)
|
100% |
25373
32.6 IPS |
|
|
Style Transfer (HP)
|
100% |
38394
49.4 IPS |
|
|
Style Transfer (Q)
|
96% |
31788
41.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5859
216.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6845
252.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4799
177.2 IPS |
|
|
Text Classification (SP)
|
100% |
3089
4.12 KIPS |
|
|
Text Classification (HP)
|
100% |
5469
7.30 KIPS |
|
|
Text Classification (Q)
|
93% |
5516
7.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3932
67.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7041
121.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6911
119.4 IPS |
