Mac mini (2024)
Geekbench AI Score
4847
Single Precision Score
7919
Half Precision Score
6355
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | Degeho |
| Upload Date | September 12 2025 06:10 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2104
391.4 IPS |
|
|
Image Classification (HP)
|
100% |
3347
622.5 IPS |
|
|
Image Classification (Q)
|
96% |
2319
433.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2132
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3122
50.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3590
58.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9971
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19402
22.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16686
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
2447
194.1 IPS |
|
|
Object Detection (HP)
|
97% |
3801
302.6 IPS |
|
|
Object Detection (Q)
|
94% |
2712
216.2 IPS |
|
|
Face Detection (SP)
|
100% |
4214
50.1 IPS |
|
|
Face Detection (HP)
|
100% |
7556
89.8 IPS |
|
|
Face Detection (Q)
|
100% |
4421
52.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8659
66.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
14647
113.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
10269
80.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21697
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
38713
49.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31898
41.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6094
225.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7231
267.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4994
184.4 IPS |
|
|
Text Classification (SP)
|
100% |
3082
4.11 KIPS |
|
|
Text Classification (HP)
|
100% |
5406
7.22 KIPS |
|
|
Text Classification (Q)
|
93% |
5363
7.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
4400
75.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7517
129.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7357
127.1 IPS |
