Mac mini (2024)
Geekbench AI Score
4796
Single Precision Score
37536
Half Precision Score
53512
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | June 01 2025 03:15 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 4.40 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2065
384.1 IPS |
|
|
Image Classification (HP)
|
100% |
18334
3.41 KIPS |
|
|
Image Classification (Q)
|
97% |
27423
5.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2137
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
22133
358.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
30432
493.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9848
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
122933
143.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
231304
271.1 IPS |
|
|
Object Detection (SP)
|
100% |
2448
194.2 IPS |
|
|
Object Detection (HP)
|
100% |
19055
1.51 KIPS |
|
|
Object Detection (Q)
|
91% |
26888
2.15 KIPS |
|
|
Face Detection (SP)
|
100% |
4227
50.2 IPS |
|
|
Face Detection (HP)
|
100% |
43156
512.8 IPS |
|
|
Face Detection (Q)
|
100% |
65797
781.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8568
66.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
100368
773.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
171781
1.34 KIPS |
|
|
Style Transfer (SP)
|
100% |
21164
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
236619
304.2 IPS |
|
|
Style Transfer (Q)
|
96% |
300689
388.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5993
221.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50781
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86068
3.18 KIPS |
|
|
Text Classification (SP)
|
100% |
2955
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
6667
8.90 KIPS |
|
|
Text Classification (Q)
|
93% |
6783
9.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
4462
76.9 IPS |
|
|
Machine Translation (HP)
|
100% |
16838
290.0 IPS |
|
|
Machine Translation (Q)
|
98% |
18700
323.2 IPS |
