Mac mini Neural Engine (2024) Mac mini (2024)
Geekbench AI Score
4738
Single Precision Score
38697
Half Precision Score
55521
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | klpriddy |
| Upload Date | August 12 2025 04:08 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.6 (Build 24G84) |
| 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 | 4.40 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2031
377.8 IPS |
|
|
Image Classification (HP)
|
100% |
19411
3.61 KIPS |
|
|
Image Classification (Q)
|
97% |
29503
5.51 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2135
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
22138
358.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
30489
494.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9723
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
123041
143.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
231549
271.4 IPS |
|
|
Object Detection (SP)
|
100% |
2358
187.0 IPS |
|
|
Object Detection (HP)
|
100% |
19838
1.57 KIPS |
|
|
Object Detection (Q)
|
91% |
27888
2.23 KIPS |
|
|
Face Detection (SP)
|
100% |
4124
49.0 IPS |
|
|
Face Detection (HP)
|
100% |
43573
517.7 IPS |
|
|
Face Detection (Q)
|
100% |
65913
783.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8389
64.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
98873
761.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
169581
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
20675
26.6 IPS |
|
|
Style Transfer (HP)
|
100% |
235940
303.3 IPS |
|
|
Style Transfer (Q)
|
96% |
298014
384.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6030
222.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52765
1.95 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
93249
3.44 KIPS |
|
|
Text Classification (SP)
|
100% |
3025
4.04 KIPS |
|
|
Text Classification (HP)
|
100% |
7696
10.3 KIPS |
|
|
Text Classification (Q)
|
93% |
8184
11.0 KIPS |
|
|
Machine Translation (SP)
|
100% |
4398
75.8 IPS |
|
|
Machine Translation (HP)
|
100% |
17394
299.6 IPS |
|
|
Machine Translation (Q)
|
98% |
18850
325.7 IPS |
