Mac mini (2024)
Geekbench AI Score
4937
Single Precision Score
7991
Half Precision Score
6403
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | Brock_Suire |
| Upload Date | September 03 2025 07:25 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5351b) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2108
391.9 IPS |
|
|
Image Classification (HP)
|
100% |
3382
628.9 IPS |
|
|
Image Classification (Q)
|
96% |
2353
439.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2077
33.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3134
50.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3511
56.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10001
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19429
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16683
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
2444
193.9 IPS |
|
|
Object Detection (HP)
|
97% |
3769
300.1 IPS |
|
|
Object Detection (Q)
|
94% |
2713
216.3 IPS |
|
|
Face Detection (SP)
|
100% |
4259
50.6 IPS |
|
|
Face Detection (HP)
|
100% |
7753
92.1 IPS |
|
|
Face Detection (Q)
|
100% |
4455
52.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8503
65.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
13910
107.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9845
76.8 IPS |
|
|
Style Transfer (SP)
|
100% |
24228
31.1 IPS |
|
|
Style Transfer (HP)
|
100% |
39180
50.4 IPS |
|
|
Style Transfer (Q)
|
96% |
31953
41.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6051
223.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7238
267.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4946
182.6 IPS |
|
|
Text Classification (SP)
|
100% |
3361
4.49 KIPS |
|
|
Text Classification (HP)
|
99% |
5569
7.43 KIPS |
|
|
Text Classification (Q)
|
93% |
5641
7.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
4509
77.7 IPS |
|
|
Machine Translation (HP)
|
98% |
8041
138.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7931
137.1 IPS |
