Mac mini (2024)
Geekbench AI Score
9607
Single Precision Score
11594
Half Precision Score
11087
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | peterb123 |
| Upload Date | September 21 2025 10:19 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A354) |
| 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% |
4583
852.3 IPS |
|
|
Image Classification (HP)
|
100% |
5070
942.9 IPS |
|
|
Image Classification (Q)
|
96% |
4576
854.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
7165
116.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
7855
127.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
7824
126.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
27865
32.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
32742
38.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
31674
37.1 IPS |
|
|
Object Detection (SP)
|
100% |
4691
372.1 IPS |
|
|
Object Detection (HP)
|
100% |
5316
421.6 IPS |
|
|
Object Detection (Q)
|
92% |
4876
389.2 IPS |
|
|
Face Detection (SP)
|
100% |
12176
144.7 IPS |
|
|
Face Detection (HP)
|
100% |
16144
191.8 IPS |
|
|
Face Detection (Q)
|
100% |
13218
157.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
19750
152.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
23163
178.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
20975
163.8 IPS |
|
|
Style Transfer (SP)
|
100% |
57691
74.2 IPS |
|
|
Style Transfer (HP)
|
100% |
70879
91.1 IPS |
|
|
Style Transfer (Q)
|
96% |
67807
87.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11641
429.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12060
445.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10460
386.2 IPS |
|
|
Text Classification (SP)
|
100% |
3234
4.32 KIPS |
|
|
Text Classification (HP)
|
99% |
5873
7.84 KIPS |
|
|
Text Classification (Q)
|
93% |
6012
8.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
2988
51.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3374
58.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4296
74.2 IPS |
