Mac mini (2024)
Geekbench AI Score
4837
Single Precision Score
35663
Half Precision Score
49765
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | June 12 2025 04:54 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 16.0 (Build 25A5279m) |
| 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% |
2056
382.4 IPS |
|
|
Image Classification (HP)
|
100% |
16497
3.07 KIPS |
|
|
Image Classification (Q)
|
97% |
22116
4.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2085
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
21625
350.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
30133
488.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10041
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122920
143.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
232063
272.0 IPS |
|
|
Object Detection (SP)
|
100% |
2405
190.8 IPS |
|
|
Object Detection (HP)
|
100% |
17889
1.42 KIPS |
|
|
Object Detection (Q)
|
91% |
25436
2.03 KIPS |
|
|
Face Detection (SP)
|
100% |
4237
50.3 IPS |
|
|
Face Detection (HP)
|
100% |
42892
509.7 IPS |
|
|
Face Detection (Q)
|
100% |
61263
727.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8487
65.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
98914
762.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
165355
1.29 KIPS |
|
|
Style Transfer (SP)
|
100% |
24365
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
231483
297.6 IPS |
|
|
Style Transfer (Q)
|
96% |
322948
416.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6055
223.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52569
1.94 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
81843
3.02 KIPS |
|
|
Text Classification (SP)
|
100% |
2863
3.82 KIPS |
|
|
Text Classification (HP)
|
100% |
5069
6.77 KIPS |
|
|
Text Classification (Q)
|
93% |
4992
6.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
4465
76.9 IPS |
|
|
Machine Translation (HP)
|
100% |
16211
279.2 IPS |
|
|
Machine Translation (Q)
|
98% |
17720
306.2 IPS |
