Mac mini (2024)
Geekbench AI Score
10538
Single Precision Score
12280
Half Precision Score
11458
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| Upload Date | August 21 2025 05:07 PM |
| Views | 5 |
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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4614
858.1 IPS |
|
|
Image Classification (HP)
|
100% |
5077
944.2 IPS |
|
|
Image Classification (Q)
|
96% |
4660
870.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
7610
123.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
8396
136.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
8029
130.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
29638
34.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
31748
37.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
31397
36.8 IPS |
|
|
Object Detection (SP)
|
100% |
4831
383.2 IPS |
|
|
Object Detection (HP)
|
100% |
5392
427.7 IPS |
|
|
Object Detection (Q)
|
92% |
4970
396.7 IPS |
|
|
Face Detection (SP)
|
100% |
12981
154.2 IPS |
|
|
Face Detection (HP)
|
100% |
17169
204.0 IPS |
|
|
Face Detection (Q)
|
100% |
13627
161.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
22421
172.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
24175
186.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
22426
175.2 IPS |
|
|
Style Transfer (SP)
|
100% |
60517
77.8 IPS |
|
|
Style Transfer (HP)
|
100% |
71896
92.4 IPS |
|
|
Style Transfer (Q)
|
96% |
68749
88.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13265
489.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12452
459.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11016
406.8 IPS |
|
|
Text Classification (SP)
|
100% |
2968
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
5509
7.35 KIPS |
|
|
Text Classification (Q)
|
93% |
5450
7.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
4846
83.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5222
90.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5299
91.6 IPS |
