Mac mini (2024)
Geekbench AI Score
4841
Single Precision Score
7945
Half Precision Score
6381
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | teotwawk |
| Upload Date | November 14 2025 04:37 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
2103
391.1 IPS |
|
|
Image Classification (HP)
|
100% |
3350
623.0 IPS |
|
|
Image Classification (Q)
|
96% |
2332
435.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2134
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3152
51.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3602
58.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10011
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19443
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16734
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
2457
194.9 IPS |
|
|
Object Detection (HP)
|
97% |
3839
305.6 IPS |
|
|
Object Detection (Q)
|
94% |
2744
218.7 IPS |
|
|
Face Detection (SP)
|
100% |
4266
50.7 IPS |
|
|
Face Detection (HP)
|
100% |
7692
91.4 IPS |
|
|
Face Detection (Q)
|
100% |
4394
52.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8699
67.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14690
113.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
10323
80.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21752
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
38815
49.9 IPS |
|
|
Style Transfer (Q)
|
96% |
32021
41.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6102
225.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7224
266.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4995
184.4 IPS |
|
|
Text Classification (SP)
|
100% |
2964
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
5452
7.28 KIPS |
|
|
Text Classification (Q)
|
93% |
5427
7.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
4387
75.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7362
127.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7380
127.5 IPS |
