Mac mini (2024)
Geekbench AI Score
10507
Single Precision Score
12496
Half Precision Score
11575
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | cuber |
| Upload Date | October 29 2025 07:38 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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% |
4810
894.5 IPS |
|
|
Image Classification (HP)
|
100% |
5192
965.5 IPS |
|
|
Image Classification (Q)
|
96% |
4627
864.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
7575
122.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
8488
137.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
8083
131.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
28884
33.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
33485
39.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
32174
37.7 IPS |
|
|
Object Detection (SP)
|
100% |
4868
386.2 IPS |
|
|
Object Detection (HP)
|
100% |
5416
429.6 IPS |
|
|
Object Detection (Q)
|
92% |
5096
406.8 IPS |
|
|
Face Detection (SP)
|
100% |
12754
151.5 IPS |
|
|
Face Detection (HP)
|
100% |
17449
207.3 IPS |
|
|
Face Detection (Q)
|
100% |
13960
165.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
20862
160.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
23533
181.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
21514
168.0 IPS |
|
|
Style Transfer (SP)
|
100% |
59647
76.7 IPS |
|
|
Style Transfer (HP)
|
100% |
72558
93.3 IPS |
|
|
Style Transfer (Q)
|
96% |
69766
90.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11866
438.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12447
459.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10729
396.2 IPS |
|
|
Text Classification (SP)
|
100% |
3416
4.56 KIPS |
|
|
Text Classification (HP)
|
99% |
5788
7.73 KIPS |
|
|
Text Classification (Q)
|
93% |
5810
7.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
4980
85.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5413
93.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5393
93.2 IPS |
