Mac mini (2024)
Geekbench AI Score
4613
Single Precision Score
36816
Half Precision Score
52706
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | February 13 2025 09:20 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1980
368.3 IPS |
|
|
Image Classification (HP)
|
100% |
18215
3.39 KIPS |
|
|
Image Classification (Q)
|
97% |
26279
4.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2026
32.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
21648
350.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
30010
486.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9693
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
119516
139.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
230772
270.5 IPS |
|
|
Object Detection (SP)
|
100% |
2182
173.1 IPS |
|
|
Object Detection (HP)
|
100% |
19246
1.53 KIPS |
|
|
Object Detection (Q)
|
91% |
26428
2.11 KIPS |
|
|
Face Detection (SP)
|
100% |
3748
44.5 IPS |
|
|
Face Detection (HP)
|
100% |
40537
481.7 IPS |
|
|
Face Detection (Q)
|
100% |
63967
760.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8193
63.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
99579
767.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
172648
1.35 KIPS |
|
|
Style Transfer (SP)
|
100% |
24874
32.0 IPS |
|
|
Style Transfer (HP)
|
100% |
233554
300.2 IPS |
|
|
Style Transfer (Q)
|
96% |
299629
386.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5773
213.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50270
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
88097
3.25 KIPS |
|
|
Text Classification (SP)
|
100% |
2999
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
6602
8.81 KIPS |
|
|
Text Classification (Q)
|
93% |
6640
8.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
3897
67.1 IPS |
|
|
Machine Translation (HP)
|
100% |
16123
277.7 IPS |
|
|
Machine Translation (Q)
|
98% |
17769
307.1 IPS |
