Mac mini (2024)
Geekbench AI Score
4989
Single Precision Score
8076
Half Precision Score
6494
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | HTABHTA |
| Upload Date | January 08 2026 02:27 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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% |
2113
392.9 IPS |
|
|
Image Classification (HP)
|
100% |
3398
631.9 IPS |
|
|
Image Classification (Q)
|
96% |
2359
440.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2109
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3205
52.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3569
57.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10045
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19449
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16790
19.7 IPS |
|
|
Object Detection (SP)
|
100% |
2487
197.3 IPS |
|
|
Object Detection (HP)
|
97% |
3835
305.3 IPS |
|
|
Object Detection (Q)
|
94% |
2759
219.9 IPS |
|
|
Face Detection (SP)
|
100% |
4417
52.5 IPS |
|
|
Face Detection (HP)
|
100% |
7946
94.4 IPS |
|
|
Face Detection (Q)
|
100% |
4610
54.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8687
66.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14256
110.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
10067
78.6 IPS |
|
|
Style Transfer (SP)
|
100% |
24556
31.6 IPS |
|
|
Style Transfer (HP)
|
100% |
39236
50.4 IPS |
|
|
Style Transfer (Q)
|
96% |
32367
41.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6062
223.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7182
265.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4910
181.3 IPS |
|
|
Text Classification (SP)
|
100% |
3283
4.38 KIPS |
|
|
Text Classification (HP)
|
99% |
5674
7.57 KIPS |
|
|
Text Classification (Q)
|
93% |
5768
7.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
4582
78.9 IPS |
|
|
Machine Translation (HP)
|
98% |
8027
138.7 IPS |
|
|
Machine Translation (Q)
|
98% |
8048
139.1 IPS |
