Mac mini (2024)
Geekbench AI Score
4702
Single Precision Score
37023
Half Precision Score
52694
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 30 2025 03:07 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.7.1 (Build 24G231) |
| 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% |
2038
379.1 IPS |
|
|
Image Classification (HP)
|
100% |
17795
3.31 KIPS |
|
|
Image Classification (Q)
|
97% |
26683
4.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2084
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
22510
364.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
30246
490.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9605
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
123014
143.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
231119
270.9 IPS |
|
|
Object Detection (SP)
|
100% |
2430
192.8 IPS |
|
|
Object Detection (HP)
|
100% |
18443
1.46 KIPS |
|
|
Object Detection (Q)
|
91% |
26512
2.12 KIPS |
|
|
Face Detection (SP)
|
100% |
3986
47.4 IPS |
|
|
Face Detection (HP)
|
100% |
44260
525.9 IPS |
|
|
Face Detection (Q)
|
100% |
62569
743.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8452
65.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
99826
769.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
168418
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
20658
26.6 IPS |
|
|
Style Transfer (HP)
|
100% |
233844
300.6 IPS |
|
|
Style Transfer (Q)
|
96% |
301339
388.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5891
217.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49536
1.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
88149
3.25 KIPS |
|
|
Text Classification (SP)
|
100% |
2981
3.98 KIPS |
|
|
Text Classification (HP)
|
100% |
6367
8.50 KIPS |
|
|
Text Classification (Q)
|
93% |
6575
8.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
4364
75.2 IPS |
|
|
Machine Translation (HP)
|
100% |
16339
281.4 IPS |
|
|
Machine Translation (Q)
|
98% |
18136
313.4 IPS |
