Mac mini (2024)
Geekbench AI Score
4884
Single Precision Score
37428
Half Precision Score
52976
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| Upload Date | August 20 2025 11:11 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.6 (Build 24G84) |
| 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% |
2110
392.4 IPS |
|
|
Image Classification (HP)
|
100% |
17864
3.32 KIPS |
|
|
Image Classification (Q)
|
97% |
25580
4.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2136
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
21983
356.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
29198
473.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10030
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123121
143.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
233529
273.7 IPS |
|
|
Object Detection (SP)
|
100% |
2480
196.7 IPS |
|
|
Object Detection (HP)
|
100% |
18589
1.47 KIPS |
|
|
Object Detection (Q)
|
91% |
26485
2.12 KIPS |
|
|
Face Detection (SP)
|
100% |
4377
52.0 IPS |
|
|
Face Detection (HP)
|
100% |
44749
531.7 IPS |
|
|
Face Detection (Q)
|
100% |
63882
759.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8762
67.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
99324
765.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
168834
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
21846
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
234791
301.8 IPS |
|
|
Style Transfer (Q)
|
96% |
298876
385.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6115
225.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51226
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
89475
3.30 KIPS |
|
|
Text Classification (SP)
|
100% |
3050
4.07 KIPS |
|
|
Text Classification (HP)
|
100% |
6548
8.74 KIPS |
|
|
Text Classification (Q)
|
93% |
6702
8.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
4409
75.9 IPS |
|
|
Machine Translation (HP)
|
100% |
17151
295.4 IPS |
|
|
Machine Translation (Q)
|
98% |
19497
336.9 IPS |
