Mac mini (2024)
Geekbench AI Score
9893
Single Precision Score
11831
Half Precision Score
11044
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | jobieh |
| Upload Date | January 16 2026 07:43 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
4831
898.4 IPS |
|
|
Image Classification (HP)
|
100% |
5160
959.6 IPS |
|
|
Image Classification (Q)
|
96% |
4663
870.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
7581
122.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
8430
136.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
8042
130.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
29002
33.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
33068
38.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
32165
37.7 IPS |
|
|
Object Detection (SP)
|
100% |
4936
391.5 IPS |
|
|
Object Detection (HP)
|
100% |
5377
426.5 IPS |
|
|
Object Detection (Q)
|
92% |
5111
407.9 IPS |
|
|
Face Detection (SP)
|
100% |
12918
153.5 IPS |
|
|
Face Detection (HP)
|
100% |
16068
190.9 IPS |
|
|
Face Detection (Q)
|
100% |
14037
166.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
21146
162.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
23705
182.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
21527
168.1 IPS |
|
|
Style Transfer (SP)
|
100% |
58919
75.7 IPS |
|
|
Style Transfer (HP)
|
100% |
72349
93.0 IPS |
|
|
Style Transfer (Q)
|
96% |
70067
90.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12041
444.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12547
463.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10992
405.9 IPS |
|
|
Text Classification (SP)
|
100% |
3253
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
5821
7.77 KIPS |
|
|
Text Classification (Q)
|
93% |
5845
7.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
2717
46.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3453
59.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3221
55.7 IPS |
