Mac mini (2024)
Geekbench AI Score
4933
Single Precision Score
36876
Half Precision Score
52499
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | December 16 2025 05:03 PM |
| Views | 11 |
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 | 4.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2112
392.7 IPS |
|
|
Image Classification (HP)
|
100% |
17716
3.29 KIPS |
|
|
Image Classification (Q)
|
97% |
25729
4.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2031
32.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
22517
365.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
30917
501.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9922
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
123471
144.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
233193
273.3 IPS |
|
|
Object Detection (SP)
|
100% |
2481
196.8 IPS |
|
|
Object Detection (HP)
|
100% |
18209
1.44 KIPS |
|
|
Object Detection (Q)
|
91% |
26760
2.14 KIPS |
|
|
Face Detection (SP)
|
100% |
4338
51.5 IPS |
|
|
Face Detection (HP)
|
100% |
43929
522.0 IPS |
|
|
Face Detection (Q)
|
100% |
63440
753.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8630
66.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
100061
770.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
169017
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
24257
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
233169
299.7 IPS |
|
|
Style Transfer (Q)
|
96% |
324088
418.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6009
221.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
53286
1.97 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
88094
3.25 KIPS |
|
|
Text Classification (SP)
|
100% |
3254
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
5712
7.62 KIPS |
|
|
Text Classification (Q)
|
93% |
5658
7.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
4554
78.4 IPS |
|
|
Machine Translation (HP)
|
100% |
16624
286.3 IPS |
|
|
Machine Translation (Q)
|
98% |
18498
319.7 IPS |
