Mac mini (2024)
Geekbench AI Score
4838
Single Precision Score
7886
Half Precision Score
6397
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | TerrenceMiao |
| Upload Date | April 08 2025 04:09 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2100
390.6 IPS |
|
|
Image Classification (HP)
|
100% |
3349
622.8 IPS |
|
|
Image Classification (Q)
|
96% |
2334
435.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2173
35.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3201
51.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3676
59.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9983
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19369
22.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16719
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
2460
195.1 IPS |
|
|
Object Detection (HP)
|
97% |
3806
303.0 IPS |
|
|
Object Detection (Q)
|
94% |
2735
218.0 IPS |
|
|
Face Detection (SP)
|
100% |
4264
50.7 IPS |
|
|
Face Detection (HP)
|
100% |
7479
88.9 IPS |
|
|
Face Detection (Q)
|
100% |
4464
53.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8755
67.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
14767
114.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
10392
81.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21879
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
38715
49.8 IPS |
|
|
Style Transfer (Q)
|
96% |
32243
41.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6091
224.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7145
263.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4962
183.2 IPS |
|
|
Text Classification (SP)
|
100% |
2895
3.86 KIPS |
|
|
Text Classification (HP)
|
100% |
5309
7.09 KIPS |
|
|
Text Classification (Q)
|
93% |
5442
7.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
4359
75.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7264
125.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7244
125.2 IPS |
