Mac mini (2024)
Geekbench AI Score
4972
Single Precision Score
36354
Half Precision Score
50847
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | HTABHTA |
| Upload Date | October 21 2025 03:39 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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% |
2128
395.7 IPS |
|
|
Image Classification (HP)
|
100% |
17024
3.17 KIPS |
|
|
Image Classification (Q)
|
97% |
23652
4.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2103
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
22388
362.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
30779
498.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10072
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
123067
143.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
233042
273.1 IPS |
|
|
Object Detection (SP)
|
100% |
2478
196.5 IPS |
|
|
Object Detection (HP)
|
100% |
17778
1.41 KIPS |
|
|
Object Detection (Q)
|
91% |
25823
2.06 KIPS |
|
|
Face Detection (SP)
|
100% |
4389
52.1 IPS |
|
|
Face Detection (HP)
|
100% |
43021
511.2 IPS |
|
|
Face Detection (Q)
|
100% |
59237
703.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8649
66.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
99863
769.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
157727
1.23 KIPS |
|
|
Style Transfer (SP)
|
100% |
24638
31.7 IPS |
|
|
Style Transfer (HP)
|
100% |
233045
299.6 IPS |
|
|
Style Transfer (Q)
|
96% |
323185
417.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6089
224.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
53083
1.96 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85033
3.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3211
4.29 KIPS |
|
|
Text Classification (HP)
|
99% |
5490
7.33 KIPS |
|
|
Text Classification (Q)
|
93% |
5599
7.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
4528
78.0 IPS |
|
|
Machine Translation (HP)
|
100% |
16576
285.5 IPS |
|
|
Machine Translation (Q)
|
98% |
18345
317.0 IPS |
