Mac mini (2024)
Geekbench AI Score
4770
Single Precision Score
7776
Half Precision Score
6290
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | June 12 2025 08:02 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2093
389.3 IPS |
|
|
Image Classification (HP)
|
100% |
3339
620.9 IPS |
|
|
Image Classification (Q)
|
96% |
2322
433.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2118
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3165
51.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3588
58.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9978
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19444
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16661
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2441
193.7 IPS |
|
|
Object Detection (HP)
|
97% |
3785
301.3 IPS |
|
|
Object Detection (Q)
|
94% |
2703
215.4 IPS |
|
|
Face Detection (SP)
|
100% |
4240
50.4 IPS |
|
|
Face Detection (HP)
|
100% |
7363
87.5 IPS |
|
|
Face Detection (Q)
|
100% |
4324
51.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8546
65.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14579
112.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
10172
79.4 IPS |
|
|
Style Transfer (SP)
|
100% |
20946
26.9 IPS |
|
|
Style Transfer (HP)
|
100% |
38508
49.5 IPS |
|
|
Style Transfer (Q)
|
96% |
31569
40.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5716
211.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7044
260.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5012
185.1 IPS |
|
|
Text Classification (SP)
|
100% |
2971
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
5353
7.15 KIPS |
|
|
Text Classification (Q)
|
93% |
5294
7.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
4388
75.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6672
115.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7018
121.3 IPS |
