Mac mini (2024)
Geekbench AI Score
9842
Single Precision Score
11461
Half Precision Score
11149
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | June 21 2025 04:34 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4643
863.4 IPS |
|
|
Image Classification (HP)
|
100% |
5023
934.1 IPS |
|
|
Image Classification (Q)
|
96% |
4704
878.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
7584
122.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
8027
130.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
7901
128.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
29475
34.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
31740
37.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
31385
36.8 IPS |
|
|
Object Detection (SP)
|
100% |
4872
386.5 IPS |
|
|
Object Detection (HP)
|
100% |
5414
429.5 IPS |
|
|
Object Detection (Q)
|
92% |
4956
395.6 IPS |
|
|
Face Detection (SP)
|
100% |
12883
153.1 IPS |
|
|
Face Detection (HP)
|
100% |
16315
193.9 IPS |
|
|
Face Detection (Q)
|
100% |
13751
163.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
21579
166.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
23097
177.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
21372
166.9 IPS |
|
|
Style Transfer (SP)
|
100% |
59934
77.0 IPS |
|
|
Style Transfer (HP)
|
100% |
70937
91.2 IPS |
|
|
Style Transfer (Q)
|
96% |
68932
89.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12304
454.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12212
450.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10884
401.9 IPS |
|
|
Text Classification (SP)
|
100% |
2987
3.99 KIPS |
|
|
Text Classification (HP)
|
100% |
5498
7.34 KIPS |
|
|
Text Classification (Q)
|
93% |
5369
7.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
2756
47.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3145
54.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4338
75.0 IPS |
