Mac mini (2024)
Geekbench AI Score
4881
Single Precision Score
7971
Half Precision Score
6350
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | Brock_Suire |
| Upload Date | September 24 2025 04:30 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A354) |
| 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% |
2078
386.5 IPS |
|
|
Image Classification (HP)
|
100% |
3462
643.8 IPS |
|
|
Image Classification (Q)
|
96% |
2301
429.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2094
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3129
50.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3489
56.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9930
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19339
22.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16547
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2419
191.9 IPS |
|
|
Object Detection (HP)
|
97% |
3733
297.2 IPS |
|
|
Object Detection (Q)
|
94% |
2665
212.4 IPS |
|
|
Face Detection (SP)
|
100% |
4098
48.7 IPS |
|
|
Face Detection (HP)
|
100% |
7570
90.0 IPS |
|
|
Face Detection (Q)
|
100% |
4372
52.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8324
64.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
13772
106.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9583
74.8 IPS |
|
|
Style Transfer (SP)
|
100% |
23976
30.8 IPS |
|
|
Style Transfer (HP)
|
100% |
38689
49.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31642
40.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6025
222.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7037
259.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4917
181.6 IPS |
|
|
Text Classification (SP)
|
100% |
3340
4.46 KIPS |
|
|
Text Classification (HP)
|
99% |
5838
7.79 KIPS |
|
|
Text Classification (Q)
|
93% |
5871
7.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
4470
77.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7998
138.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7876
136.1 IPS |
