Mac mini (2024)
Geekbench AI Score
4977
Single Precision Score
8057
Half Precision Score
6478
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | jmvioque |
| Upload Date | November 26 2025 09:44 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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% |
2117
393.7 IPS |
|
|
Image Classification (HP)
|
100% |
3359
624.7 IPS |
|
|
Image Classification (Q)
|
96% |
2347
438.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2091
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3185
51.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3539
57.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10010
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19430
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16774
19.7 IPS |
|
|
Object Detection (SP)
|
100% |
2472
196.1 IPS |
|
|
Object Detection (HP)
|
97% |
3823
304.4 IPS |
|
|
Object Detection (Q)
|
94% |
2744
218.7 IPS |
|
|
Face Detection (SP)
|
100% |
4354
51.7 IPS |
|
|
Face Detection (HP)
|
100% |
7869
93.5 IPS |
|
|
Face Detection (Q)
|
100% |
4537
53.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8597
66.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14160
109.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10050
78.4 IPS |
|
|
Style Transfer (SP)
|
100% |
24218
31.1 IPS |
|
|
Style Transfer (HP)
|
100% |
38985
50.1 IPS |
|
|
Style Transfer (Q)
|
96% |
32162
41.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6045
223.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7191
265.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4908
181.2 IPS |
|
|
Text Classification (SP)
|
100% |
3433
4.58 KIPS |
|
|
Text Classification (HP)
|
99% |
5785
7.72 KIPS |
|
|
Text Classification (Q)
|
93% |
5914
7.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
4532
78.1 IPS |
|
|
Machine Translation (HP)
|
98% |
8035
138.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7998
138.2 IPS |
