Mac mini (2024)
Geekbench AI Score
4844
Single Precision Score
35701
Half Precision Score
49674
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | hlee25 |
| Upload Date | June 11 2025 06:21 PM |
| Views | 7 |
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% |
2061
383.2 IPS |
|
|
Image Classification (HP)
|
100% |
17377
3.23 KIPS |
|
|
Image Classification (Q)
|
97% |
22462
4.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2072
33.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
22106
358.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
29701
481.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10057
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122939
143.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
231663
271.5 IPS |
|
|
Object Detection (SP)
|
100% |
2416
191.6 IPS |
|
|
Object Detection (HP)
|
100% |
17631
1.40 KIPS |
|
|
Object Detection (Q)
|
91% |
25061
2.00 KIPS |
|
|
Face Detection (SP)
|
100% |
4241
50.4 IPS |
|
|
Face Detection (HP)
|
100% |
43151
512.7 IPS |
|
|
Face Detection (Q)
|
100% |
59678
709.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8462
65.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
98367
757.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
163885
1.28 KIPS |
|
|
Style Transfer (SP)
|
100% |
24365
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
231068
297.0 IPS |
|
|
Style Transfer (Q)
|
96% |
323406
417.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6059
223.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50336
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80559
2.97 KIPS |
|
|
Text Classification (SP)
|
100% |
2881
3.85 KIPS |
|
|
Text Classification (HP)
|
100% |
5106
6.82 KIPS |
|
|
Text Classification (Q)
|
93% |
5205
6.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
4495
77.4 IPS |
|
|
Machine Translation (HP)
|
100% |
16027
276.1 IPS |
|
|
Machine Translation (Q)
|
98% |
17809
307.8 IPS |
