Mac mini (2024)
Geekbench AI Score
4602
Single Precision Score
7589
Half Precision Score
6167
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | mkennedy |
| Upload Date | February 21 2025 05:20 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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 | 4.39 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1947
362.0 IPS |
|
|
Image Classification (HP)
|
100% |
3253
605.0 IPS |
|
|
Image Classification (Q)
|
96% |
2291
427.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2042
33.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3159
51.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3582
58.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9731
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
18781
21.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
16295
19.1 IPS |
|
|
Object Detection (SP)
|
100% |
2245
178.1 IPS |
|
|
Object Detection (HP)
|
97% |
3652
290.8 IPS |
|
|
Object Detection (Q)
|
94% |
2656
211.7 IPS |
|
|
Face Detection (SP)
|
100% |
3761
44.7 IPS |
|
|
Face Detection (HP)
|
100% |
6865
81.6 IPS |
|
|
Face Detection (Q)
|
100% |
4243
50.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8153
62.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14438
111.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
10107
78.9 IPS |
|
|
Style Transfer (SP)
|
100% |
24541
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
37770
48.6 IPS |
|
|
Style Transfer (Q)
|
96% |
31361
40.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5722
211.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6751
249.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4764
175.9 IPS |
|
|
Text Classification (SP)
|
100% |
2982
3.98 KIPS |
|
|
Text Classification (HP)
|
100% |
5482
7.32 KIPS |
|
|
Text Classification (Q)
|
93% |
5426
7.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
3822
65.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6489
112.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6445
111.4 IPS |
