Mac mini M4 (2024) 24 GB RAM / HDD 512 GB Mac mini (2024)
Geekbench AI Score
4731
Single Precision Score
36480
Half Precision Score
52245
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | konopek1971 |
| Upload Date | March 12 2025 05:28 PM |
| Views | 5 |
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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2039
379.3 IPS |
|
|
Image Classification (HP)
|
100% |
17832
3.32 KIPS |
|
|
Image Classification (Q)
|
97% |
26292
4.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2157
35.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
22100
358.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
30188
489.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9997
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123829
144.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
232286
272.3 IPS |
|
|
Object Detection (SP)
|
100% |
2279
180.8 IPS |
|
|
Object Detection (HP)
|
100% |
18345
1.46 KIPS |
|
|
Object Detection (Q)
|
91% |
26034
2.08 KIPS |
|
|
Face Detection (SP)
|
100% |
3994
47.5 IPS |
|
|
Face Detection (HP)
|
100% |
39122
464.9 IPS |
|
|
Face Detection (Q)
|
100% |
62231
739.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8392
64.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
99632
767.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
169909
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
25364
32.6 IPS |
|
|
Style Transfer (HP)
|
100% |
234890
302.0 IPS |
|
|
Style Transfer (Q)
|
96% |
301075
388.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5764
212.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49337
1.82 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87083
3.22 KIPS |
|
|
Text Classification (SP)
|
100% |
2925
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
6280
8.38 KIPS |
|
|
Text Classification (Q)
|
93% |
6295
8.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
3912
67.4 IPS |
|
|
Machine Translation (HP)
|
100% |
16440
283.2 IPS |
|
|
Machine Translation (Q)
|
98% |
18089
312.6 IPS |
