Mac mini (2024)
Geekbench AI Score
4839
Single Precision Score
35555
Half Precision Score
49963
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | hlee25 |
| Upload Date | June 11 2025 06:08 PM |
| Views | 9 |
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 | 4.04 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2052
381.7 IPS |
|
|
Image Classification (HP)
|
100% |
16414
3.05 KIPS |
|
|
Image Classification (Q)
|
97% |
23202
4.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2078
33.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
22103
358.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
30115
488.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10050
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123053
143.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
231665
271.5 IPS |
|
|
Object Detection (SP)
|
100% |
2409
191.1 IPS |
|
|
Object Detection (HP)
|
100% |
17805
1.41 KIPS |
|
|
Object Detection (Q)
|
91% |
25443
2.03 KIPS |
|
|
Face Detection (SP)
|
100% |
4243
50.4 IPS |
|
|
Face Detection (HP)
|
100% |
43021
511.2 IPS |
|
|
Face Detection (Q)
|
100% |
61685
733.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8454
65.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
98511
759.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
162890
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
24159
31.1 IPS |
|
|
Style Transfer (HP)
|
100% |
232227
298.5 IPS |
|
|
Style Transfer (Q)
|
96% |
321118
414.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6060
223.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50261
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80360
2.97 KIPS |
|
|
Text Classification (SP)
|
100% |
2891
3.86 KIPS |
|
|
Text Classification (HP)
|
100% |
5113
6.82 KIPS |
|
|
Text Classification (Q)
|
93% |
5083
6.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
4497
77.5 IPS |
|
|
Machine Translation (HP)
|
100% |
16061
276.7 IPS |
|
|
Machine Translation (Q)
|
98% |
17860
308.6 IPS |
