Mac mini (2024)
Geekbench AI Score
9877
Single Precision Score
11575
Half Precision Score
10485
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| Upload Date | September 02 2025 09:12 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5351b) |
| 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 | 4.39 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4633
861.6 IPS |
|
|
Image Classification (HP)
|
100% |
4605
856.4 IPS |
|
|
Image Classification (Q)
|
96% |
3946
736.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
7569
122.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
8326
135.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
6876
111.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
29018
33.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
33133
38.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
32313
37.8 IPS |
|
|
Object Detection (SP)
|
100% |
4904
389.0 IPS |
|
|
Object Detection (HP)
|
100% |
5328
422.6 IPS |
|
|
Object Detection (Q)
|
92% |
4926
393.2 IPS |
|
|
Face Detection (SP)
|
100% |
12982
154.2 IPS |
|
|
Face Detection (HP)
|
100% |
17304
205.6 IPS |
|
|
Face Detection (Q)
|
100% |
13858
164.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
21434
165.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
24232
186.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
21436
167.4 IPS |
|
|
Style Transfer (SP)
|
100% |
60057
77.2 IPS |
|
|
Style Transfer (HP)
|
100% |
73128
94.0 IPS |
|
|
Style Transfer (Q)
|
96% |
69992
90.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11830
436.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12290
453.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10755
397.1 IPS |
|
|
Text Classification (SP)
|
100% |
3216
4.29 KIPS |
|
|
Text Classification (HP)
|
99% |
5446
7.27 KIPS |
|
|
Text Classification (Q)
|
93% |
5438
7.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
2786
48.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3108
53.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3059
52.9 IPS |
