Mac mini (2024)
Geekbench AI Score
4840
Single Precision Score
7890
Half Precision Score
6350
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | stgzach |
| Upload Date | April 10 2025 05:15 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F5042g) |
| 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 | 4.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2092
389.0 IPS |
|
|
Image Classification (HP)
|
100% |
3343
621.6 IPS |
|
|
Image Classification (Q)
|
96% |
2342
437.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2207
35.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3179
51.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3590
58.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9918
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19407
22.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16729
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
2460
195.2 IPS |
|
|
Object Detection (HP)
|
97% |
3789
301.7 IPS |
|
|
Object Detection (Q)
|
94% |
2733
217.9 IPS |
|
|
Face Detection (SP)
|
100% |
4340
51.6 IPS |
|
|
Face Detection (HP)
|
100% |
7654
90.9 IPS |
|
|
Face Detection (Q)
|
100% |
4465
53.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8741
67.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14724
113.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10359
80.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21808
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
38771
49.8 IPS |
|
|
Style Transfer (Q)
|
96% |
32202
41.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6045
223.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7292
269.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4984
184.0 IPS |
|
|
Text Classification (SP)
|
100% |
2877
3.84 KIPS |
|
|
Text Classification (HP)
|
100% |
5277
7.04 KIPS |
|
|
Text Classification (Q)
|
93% |
5269
7.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
4353
75.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7117
123.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7090
122.5 IPS |
