Mac mini (2024)
Geekbench AI Score
4698
Single Precision Score
7797
Half Precision Score
6233
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| Upload Date | August 12 2025 03:55 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.6 (Build 24G84) |
| 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% |
2061
383.2 IPS |
|
|
Image Classification (HP)
|
100% |
3270
608.1 IPS |
|
|
Image Classification (Q)
|
96% |
2253
420.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2114
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3150
51.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3572
57.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9769
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
19145
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16300
19.1 IPS |
|
|
Object Detection (SP)
|
100% |
2355
186.8 IPS |
|
|
Object Detection (HP)
|
97% |
3736
297.4 IPS |
|
|
Object Detection (Q)
|
94% |
2615
208.5 IPS |
|
|
Face Detection (SP)
|
100% |
3921
46.6 IPS |
|
|
Face Detection (HP)
|
100% |
7280
86.5 IPS |
|
|
Face Detection (Q)
|
100% |
4178
49.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8382
64.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14391
111.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9988
78.0 IPS |
|
|
Style Transfer (SP)
|
100% |
20456
26.3 IPS |
|
|
Style Transfer (HP)
|
100% |
37469
48.2 IPS |
|
|
Style Transfer (Q)
|
96% |
30951
39.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5990
221.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7224
266.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5020
185.4 IPS |
|
|
Text Classification (SP)
|
100% |
3021
4.03 KIPS |
|
|
Text Classification (HP)
|
100% |
5548
7.41 KIPS |
|
|
Text Classification (Q)
|
93% |
5539
7.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
4300
74.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7170
123.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7195
124.3 IPS |
