Mac mini (2024)
Geekbench AI Score
8753
Single Precision Score
10575
Half Precision Score
9632
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | geekbenchmonk |
| Upload Date | March 28 2025 03:16 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 4.40 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4905
912.1 IPS |
|
|
Image Classification (HP)
|
100% |
5299
985.4 IPS |
|
|
Image Classification (Q)
|
97% |
4480
836.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
4811
78.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
6931
112.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
7596
123.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
30155
35.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
32334
37.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
30701
36.0 IPS |
|
|
Object Detection (SP)
|
100% |
5002
396.8 IPS |
|
|
Object Detection (HP)
|
100% |
5623
446.0 IPS |
|
|
Object Detection (Q)
|
91% |
4794
383.1 IPS |
|
|
Face Detection (SP)
|
100% |
13010
154.6 IPS |
|
|
Face Detection (HP)
|
100% |
16961
201.5 IPS |
|
|
Face Detection (Q)
|
100% |
12658
150.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
22126
170.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
24546
189.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
21454
167.7 IPS |
|
|
Style Transfer (SP)
|
100% |
59166
76.1 IPS |
|
|
Style Transfer (HP)
|
100% |
72474
93.2 IPS |
|
|
Style Transfer (Q)
|
96% |
68801
88.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13334
492.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13752
507.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11708
432.3 IPS |
|
|
Text Classification (SP)
|
100% |
3015
4.02 KIPS |
|
|
Text Classification (HP)
|
100% |
5590
7.46 KIPS |
|
|
Text Classification (Q)
|
93% |
5505
7.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
1084
18.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1130
19.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1140
19.7 IPS |
