Mac mini (2024)
Geekbench AI Score
4652
Single Precision Score
7659
Half Precision Score
6079
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | 2048 |
| Upload Date | June 17 2025 01:46 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 3.88 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1947
362.2 IPS |
|
|
Image Classification (HP)
|
100% |
3141
584.1 IPS |
|
|
Image Classification (Q)
|
96% |
2139
399.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2062
33.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3072
49.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3382
54.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9742
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
19086
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16234
19.0 IPS |
|
|
Object Detection (SP)
|
100% |
2329
184.7 IPS |
|
|
Object Detection (HP)
|
97% |
3649
290.5 IPS |
|
|
Object Detection (Q)
|
94% |
2560
204.0 IPS |
|
|
Face Detection (SP)
|
100% |
4004
47.6 IPS |
|
|
Face Detection (HP)
|
100% |
7087
84.2 IPS |
|
|
Face Detection (Q)
|
100% |
4111
48.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8281
63.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14081
108.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9770
76.3 IPS |
|
|
Style Transfer (SP)
|
100% |
20329
26.1 IPS |
|
|
Style Transfer (HP)
|
100% |
37592
48.3 IPS |
|
|
Style Transfer (Q)
|
96% |
30704
39.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5940
219.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7119
262.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4931
182.1 IPS |
|
|
Text Classification (SP)
|
100% |
2992
3.99 KIPS |
|
|
Text Classification (HP)
|
100% |
5345
7.13 KIPS |
|
|
Text Classification (Q)
|
93% |
5314
7.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
4357
75.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7242
125.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7101
122.7 IPS |
