Mac mini (2024)
Geekbench AI Score
10217
Single Precision Score
12046
Half Precision Score
10919
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| Upload Date | July 11 2025 04:21 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4752
883.7 IPS |
|
|
Image Classification (HP)
|
100% |
5068
942.6 IPS |
|
|
Image Classification (Q)
|
96% |
4819
899.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
7539
122.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
8460
137.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
8042
130.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
29622
34.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
31876
37.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
30930
36.2 IPS |
|
|
Object Detection (SP)
|
100% |
4802
380.9 IPS |
|
|
Object Detection (HP)
|
100% |
5441
431.6 IPS |
|
|
Object Detection (Q)
|
92% |
4998
398.9 IPS |
|
|
Face Detection (SP)
|
100% |
12514
148.7 IPS |
|
|
Face Detection (HP)
|
100% |
16404
194.9 IPS |
|
|
Face Detection (Q)
|
100% |
13501
160.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
21711
167.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
23349
179.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
21704
169.5 IPS |
|
|
Style Transfer (SP)
|
100% |
58894
75.7 IPS |
|
|
Style Transfer (HP)
|
100% |
71216
91.5 IPS |
|
|
Style Transfer (Q)
|
96% |
68921
88.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12531
462.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12483
460.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10988
405.7 IPS |
|
|
Text Classification (SP)
|
100% |
2996
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
5328
7.11 KIPS |
|
|
Text Classification (Q)
|
93% |
5439
7.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
4052
69.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4772
82.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3333
57.6 IPS |
