Mac mini (2024)
Geekbench AI Score
4947
Single Precision Score
8051
Half Precision Score
6425
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | Brock_Suire |
| Upload Date | September 23 2025 12:19 AM |
| Views | 5 |
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% |
2072
385.4 IPS |
|
|
Image Classification (HP)
|
100% |
3364
625.6 IPS |
|
|
Image Classification (Q)
|
96% |
2351
439.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2067
33.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3140
50.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3543
57.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9988
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19390
22.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16687
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
2470
195.9 IPS |
|
|
Object Detection (HP)
|
97% |
3795
302.1 IPS |
|
|
Object Detection (Q)
|
94% |
2725
217.2 IPS |
|
|
Face Detection (SP)
|
100% |
4294
51.0 IPS |
|
|
Face Detection (HP)
|
100% |
7739
92.0 IPS |
|
|
Face Detection (Q)
|
100% |
4485
53.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8571
66.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14069
108.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9878
77.1 IPS |
|
|
Style Transfer (SP)
|
100% |
24028
30.9 IPS |
|
|
Style Transfer (HP)
|
100% |
38714
49.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31850
41.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6024
222.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7260
268.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4911
181.3 IPS |
|
|
Text Classification (SP)
|
100% |
3477
4.64 KIPS |
|
|
Text Classification (HP)
|
99% |
5961
7.96 KIPS |
|
|
Text Classification (Q)
|
93% |
5838
7.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
4489
77.3 IPS |
|
|
Machine Translation (HP)
|
98% |
8078
139.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7835
135.4 IPS |
