MacMini Mac mini (2024)
Geekbench AI Score
4747
Single Precision Score
7796
Half Precision Score
6271
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | Wolfgang1756 |
| Upload Date | July 13 2025 09:43 PM |
| Views | 12 |
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% |
2066
384.2 IPS |
|
|
Image Classification (HP)
|
100% |
3322
617.9 IPS |
|
|
Image Classification (Q)
|
96% |
2316
432.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2106
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3139
50.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3552
57.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9686
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
19131
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16442
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2418
191.8 IPS |
|
|
Object Detection (HP)
|
97% |
3754
298.9 IPS |
|
|
Object Detection (Q)
|
94% |
2676
213.3 IPS |
|
|
Face Detection (SP)
|
100% |
4026
47.8 IPS |
|
|
Face Detection (HP)
|
100% |
7180
85.3 IPS |
|
|
Face Detection (Q)
|
100% |
4197
49.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8466
65.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14485
112.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10140
79.1 IPS |
|
|
Style Transfer (SP)
|
100% |
20901
26.9 IPS |
|
|
Style Transfer (HP)
|
100% |
38343
49.3 IPS |
|
|
Style Transfer (Q)
|
96% |
31586
40.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5982
220.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7109
262.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5006
184.9 IPS |
|
|
Text Classification (SP)
|
100% |
3091
4.13 KIPS |
|
|
Text Classification (HP)
|
100% |
5554
7.41 KIPS |
|
|
Text Classification (Q)
|
93% |
5459
7.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
4334
74.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7040
121.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7079
122.3 IPS |
