Mac mini (2024)
Geekbench AI Score
4756
Single Precision Score
37837
Half Precision Score
54774
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | May 19 2025 10:42 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2058
382.8 IPS |
|
|
Image Classification (HP)
|
100% |
17918
3.33 KIPS |
|
|
Image Classification (Q)
|
97% |
27608
5.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2143
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
21967
356.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
30207
489.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9797
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
123077
143.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
231577
271.4 IPS |
|
|
Object Detection (SP)
|
100% |
2458
195.0 IPS |
|
|
Object Detection (HP)
|
100% |
18809
1.49 KIPS |
|
|
Object Detection (Q)
|
91% |
26599
2.13 KIPS |
|
|
Face Detection (SP)
|
100% |
4148
49.3 IPS |
|
|
Face Detection (HP)
|
100% |
43812
520.6 IPS |
|
|
Face Detection (Q)
|
100% |
65585
779.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8616
66.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
100500
774.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
171530
1.34 KIPS |
|
|
Style Transfer (SP)
|
100% |
20875
26.8 IPS |
|
|
Style Transfer (HP)
|
100% |
235543
302.8 IPS |
|
|
Style Transfer (Q)
|
96% |
301138
388.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6000
221.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51302
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
88679
3.27 KIPS |
|
|
Text Classification (SP)
|
100% |
2920
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
7151
9.55 KIPS |
|
|
Text Classification (Q)
|
93% |
8290
11.1 KIPS |
|
|
Machine Translation (SP)
|
100% |
4269
73.5 IPS |
|
|
Machine Translation (HP)
|
100% |
17351
298.9 IPS |
|
|
Machine Translation (Q)
|
98% |
19001
328.4 IPS |
