Mac mini (2024)
Geekbench AI Score
4932
Single Precision Score
36896
Half Precision Score
52601
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | calvinh |
| Upload Date | December 28 2025 06:13 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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% |
2111
392.6 IPS |
|
|
Image Classification (HP)
|
100% |
17562
3.27 KIPS |
|
|
Image Classification (Q)
|
97% |
26055
4.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2082
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
22233
360.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
30656
497.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10059
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122988
143.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
232939
273.0 IPS |
|
|
Object Detection (SP)
|
100% |
2450
194.3 IPS |
|
|
Object Detection (HP)
|
100% |
19095
1.51 KIPS |
|
|
Object Detection (Q)
|
91% |
26454
2.11 KIPS |
|
|
Face Detection (SP)
|
100% |
4317
51.3 IPS |
|
|
Face Detection (HP)
|
100% |
43717
519.5 IPS |
|
|
Face Detection (Q)
|
100% |
63110
749.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8626
66.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
99513
766.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
170310
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
24297
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
233240
299.8 IPS |
|
|
Style Transfer (Q)
|
96% |
321801
415.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5997
221.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52457
1.94 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
89020
3.29 KIPS |
|
|
Text Classification (SP)
|
100% |
3243
4.33 KIPS |
|
|
Text Classification (HP)
|
99% |
5679
7.58 KIPS |
|
|
Text Classification (Q)
|
93% |
5582
7.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
4477
77.1 IPS |
|
|
Machine Translation (HP)
|
100% |
16869
290.6 IPS |
|
|
Machine Translation (Q)
|
98% |
19171
331.3 IPS |
