Mac mini (2024)
Geekbench AI Score
2730
Single Precision Score
4371
Half Precision Score
3427
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | alan536 |
| Upload Date | September 07 2025 05:02 AM |
| Views | 7 |
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 | 2.08 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1101
204.7 IPS |
|
|
Image Classification (HP)
|
100% |
1791
333.0 IPS |
|
|
Image Classification (Q)
|
96% |
1181
220.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1226
19.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1860
30.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1875
30.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5735
6.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
10387
12.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
8856
10.4 IPS |
|
|
Object Detection (SP)
|
100% |
1291
102.4 IPS |
|
|
Object Detection (HP)
|
97% |
2031
161.7 IPS |
|
|
Object Detection (Q)
|
94% |
1415
112.8 IPS |
|
|
Face Detection (SP)
|
100% |
2261
26.9 IPS |
|
|
Face Detection (HP)
|
100% |
4052
48.2 IPS |
|
|
Face Detection (Q)
|
100% |
2288
27.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4721
36.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
7390
57.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
5194
40.5 IPS |
|
|
Style Transfer (SP)
|
100% |
13038
16.8 IPS |
|
|
Style Transfer (HP)
|
100% |
20606
26.5 IPS |
|
|
Style Transfer (Q)
|
96% |
16692
21.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3392
125.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3960
146.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2730
100.8 IPS |
|
|
Text Classification (SP)
|
100% |
1864
2.49 KIPS |
|
|
Text Classification (HP)
|
99% |
3131
4.18 KIPS |
|
|
Text Classification (Q)
|
93% |
3096
4.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
2619
45.1 IPS |
|
|
Machine Translation (HP)
|
98% |
4738
81.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4804
83.0 IPS |
