Mac mini (2024)
Geekbench AI Score
8871
Single Precision Score
10457
Half Precision Score
9535
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | September 11 2025 01:49 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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% |
4608
857.0 IPS |
|
|
Image Classification (HP)
|
100% |
5264
979.0 IPS |
|
|
Image Classification (Q)
|
97% |
4375
816.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4965
80.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
6954
112.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
7596
123.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
29940
34.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
32307
37.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
30787
36.1 IPS |
|
|
Object Detection (SP)
|
100% |
5056
401.1 IPS |
|
|
Object Detection (HP)
|
100% |
5420
429.9 IPS |
|
|
Object Detection (Q)
|
91% |
4742
378.9 IPS |
|
|
Face Detection (SP)
|
100% |
13019
154.7 IPS |
|
|
Face Detection (HP)
|
100% |
16795
199.6 IPS |
|
|
Face Detection (Q)
|
100% |
12550
149.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
21442
165.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
23620
182.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
19962
156.0 IPS |
|
|
Style Transfer (SP)
|
100% |
59810
76.9 IPS |
|
|
Style Transfer (HP)
|
100% |
71772
92.3 IPS |
|
|
Style Transfer (Q)
|
96% |
68093
87.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12479
460.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13725
506.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10721
395.9 IPS |
|
|
Text Classification (SP)
|
100% |
3062
4.09 KIPS |
|
|
Text Classification (HP)
|
100% |
5614
7.49 KIPS |
|
|
Text Classification (Q)
|
93% |
5482
7.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
1367
23.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1112
19.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1278
22.1 IPS |
