Mac mini (2024)
Geekbench AI Score
4839
Single Precision Score
36567
Half Precision Score
51956
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | DragonLand |
| Upload Date | January 14 2026 09:53 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2063
383.6 IPS |
|
|
Image Classification (HP)
|
100% |
17952
3.34 KIPS |
|
|
Image Classification (Q)
|
97% |
25582
4.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2049
33.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
22231
360.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
30399
492.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9812
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
123117
143.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
232041
272.0 IPS |
|
|
Object Detection (SP)
|
100% |
2442
193.7 IPS |
|
|
Object Detection (HP)
|
100% |
17999
1.43 KIPS |
|
|
Object Detection (Q)
|
91% |
26765
2.14 KIPS |
|
|
Face Detection (SP)
|
100% |
4095
48.7 IPS |
|
|
Face Detection (HP)
|
100% |
42784
508.4 IPS |
|
|
Face Detection (Q)
|
100% |
63079
749.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8443
65.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
99748
768.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
168387
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
23244
29.9 IPS |
|
|
Style Transfer (HP)
|
100% |
235887
303.2 IPS |
|
|
Style Transfer (Q)
|
96% |
323699
417.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5945
219.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52870
1.95 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85945
3.17 KIPS |
|
|
Text Classification (SP)
|
100% |
3282
4.38 KIPS |
|
|
Text Classification (HP)
|
99% |
5660
7.55 KIPS |
|
|
Text Classification (Q)
|
93% |
5581
7.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
4439
76.5 IPS |
|
|
Machine Translation (HP)
|
100% |
16046
276.4 IPS |
|
|
Machine Translation (Q)
|
98% |
17996
311.0 IPS |
