Mac mini (2024)
Geekbench AI Score
4615
Single Precision Score
7538
Half Precision Score
6097
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | Brock_Suire |
| Upload Date | August 08 2025 07:41 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.6 (Build 24G84) |
| 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 | 4.40 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1933
359.4 IPS |
|
|
Image Classification (HP)
|
100% |
3061
569.3 IPS |
|
|
Image Classification (Q)
|
96% |
2108
393.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2062
33.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3059
49.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3339
54.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9437
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
19324
22.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
16564
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2295
182.0 IPS |
|
|
Object Detection (HP)
|
97% |
3649
290.5 IPS |
|
|
Object Detection (Q)
|
94% |
2534
202.0 IPS |
|
|
Face Detection (SP)
|
100% |
3945
46.9 IPS |
|
|
Face Detection (HP)
|
100% |
7253
86.2 IPS |
|
|
Face Detection (Q)
|
100% |
4162
49.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8033
61.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
13748
106.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9743
76.0 IPS |
|
|
Style Transfer (SP)
|
100% |
20539
26.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38505
49.5 IPS |
|
|
Style Transfer (Q)
|
96% |
31809
41.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6041
223.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7266
268.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4892
180.7 IPS |
|
|
Text Classification (SP)
|
100% |
2932
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5445
7.27 KIPS |
|
|
Text Classification (Q)
|
93% |
5307
7.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
4404
75.9 IPS |
|
|
Machine Translation (HP)
|
98% |
5907
102.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7176
124.0 IPS |
