Mac mini (2024)
Geekbench AI Score
4742
Single Precision Score
37257
Half Precision Score
52477
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | April 25 2025 12:50 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B2091) |
| 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% |
2007
373.3 IPS |
|
|
Image Classification (HP)
|
100% |
18052
3.36 KIPS |
|
|
Image Classification (Q)
|
97% |
26283
4.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2114
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
21413
347.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
30312
491.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10003
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
124153
144.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
233018
273.1 IPS |
|
|
Object Detection (SP)
|
100% |
2298
182.3 IPS |
|
|
Object Detection (HP)
|
100% |
18769
1.49 KIPS |
|
|
Object Detection (Q)
|
91% |
26688
2.13 KIPS |
|
|
Face Detection (SP)
|
100% |
4070
48.4 IPS |
|
|
Face Detection (HP)
|
100% |
44562
529.5 IPS |
|
|
Face Detection (Q)
|
100% |
57194
679.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8454
65.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
100160
771.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
172587
1.35 KIPS |
|
|
Style Transfer (SP)
|
100% |
25415
32.7 IPS |
|
|
Style Transfer (HP)
|
100% |
234135
301.0 IPS |
|
|
Style Transfer (Q)
|
96% |
300495
387.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5767
213.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50345
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
89374
3.30 KIPS |
|
|
Text Classification (SP)
|
100% |
2964
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
6466
8.63 KIPS |
|
|
Text Classification (Q)
|
93% |
6576
8.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
3948
68.0 IPS |
|
|
Machine Translation (HP)
|
100% |
16821
289.8 IPS |
|
|
Machine Translation (Q)
|
98% |
18339
316.9 IPS |
