Mac mini (2024)
Geekbench AI Score
4711
Single Precision Score
36581
Half Precision Score
52242
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | Martythebrit |
| Upload Date | March 22 2025 10:12 PM |
| Views | 20 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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% |
2018
375.3 IPS |
|
|
Image Classification (HP)
|
100% |
18124
3.37 KIPS |
|
|
Image Classification (Q)
|
97% |
26930
5.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2059
33.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
21899
355.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
30222
489.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10080
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
123998
144.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
232452
272.4 IPS |
|
|
Object Detection (SP)
|
100% |
2285
181.3 IPS |
|
|
Object Detection (HP)
|
100% |
18735
1.49 KIPS |
|
|
Object Detection (Q)
|
91% |
26177
2.09 KIPS |
|
|
Face Detection (SP)
|
100% |
3913
46.5 IPS |
|
|
Face Detection (HP)
|
100% |
38879
462.0 IPS |
|
|
Face Detection (Q)
|
100% |
62903
747.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8320
64.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
101021
778.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
170135
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
25373
32.6 IPS |
|
|
Style Transfer (HP)
|
100% |
233614
300.3 IPS |
|
|
Style Transfer (Q)
|
96% |
299859
387.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5860
216.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49325
1.82 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85557
3.16 KIPS |
|
|
Text Classification (SP)
|
100% |
2957
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
6256
8.35 KIPS |
|
|
Text Classification (Q)
|
93% |
6061
8.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
3936
67.8 IPS |
|
|
Machine Translation (HP)
|
100% |
16440
283.2 IPS |
|
|
Machine Translation (Q)
|
98% |
18376
317.6 IPS |
