Mac mini (2024)
Geekbench AI Score
4868
Single Precision Score
35877
Half Precision Score
50944
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | June 18 2025 04:30 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 16.0 (Build 25A5279m) |
| 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 | 4.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2107
391.9 IPS |
|
|
Image Classification (HP)
|
100% |
17828
3.32 KIPS |
|
|
Image Classification (Q)
|
97% |
25173
4.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2050
33.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
22013
356.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
30721
498.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9931
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
123014
143.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
231812
271.7 IPS |
|
|
Object Detection (SP)
|
100% |
2472
196.1 IPS |
|
|
Object Detection (HP)
|
100% |
17866
1.42 KIPS |
|
|
Object Detection (Q)
|
91% |
25457
2.03 KIPS |
|
|
Face Detection (SP)
|
100% |
4199
49.9 IPS |
|
|
Face Detection (HP)
|
100% |
43193
513.2 IPS |
|
|
Face Detection (Q)
|
100% |
62781
746.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8550
65.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
98440
758.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
167725
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
24156
31.1 IPS |
|
|
Style Transfer (HP)
|
100% |
233015
299.5 IPS |
|
|
Style Transfer (Q)
|
96% |
322841
416.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6014
222.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50812
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84024
3.10 KIPS |
|
|
Text Classification (SP)
|
100% |
3012
4.02 KIPS |
|
|
Text Classification (HP)
|
100% |
5074
6.77 KIPS |
|
|
Text Classification (Q)
|
93% |
5133
6.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
4488
77.3 IPS |
|
|
Machine Translation (HP)
|
100% |
16040
276.3 IPS |
|
|
Machine Translation (Q)
|
98% |
17598
304.1 IPS |
