Mac mini (2024)
Geekbench AI Score
4847
Single Precision Score
7942
Half Precision Score
6404
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | HTABHTA |
| Upload Date | May 18 2025 07:33 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
2104
391.3 IPS |
|
|
Image Classification (HP)
|
100% |
3342
621.4 IPS |
|
|
Image Classification (Q)
|
96% |
2335
436.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2123
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3127
50.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3607
58.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9954
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19406
22.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16747
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
2471
196.0 IPS |
|
|
Object Detection (HP)
|
97% |
3832
305.1 IPS |
|
|
Object Detection (Q)
|
94% |
2749
219.1 IPS |
|
|
Face Detection (SP)
|
100% |
4361
51.8 IPS |
|
|
Face Detection (HP)
|
100% |
7781
92.5 IPS |
|
|
Face Detection (Q)
|
100% |
4570
54.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8774
67.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14818
114.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10439
81.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22253
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
38876
50.0 IPS |
|
|
Style Transfer (Q)
|
96% |
32234
41.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6116
225.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7256
267.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4960
183.1 IPS |
|
|
Text Classification (SP)
|
100% |
2885
3.85 KIPS |
|
|
Text Classification (HP)
|
100% |
5385
7.19 KIPS |
|
|
Text Classification (Q)
|
93% |
5368
7.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
4336
74.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7337
126.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7314
126.4 IPS |
