Mac mini (2024)
Geekbench AI Score
4695
Single Precision Score
7789
Half Precision Score
6292
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Zawacchi |
| Upload Date | February 23 2025 12:51 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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% |
2014
374.5 IPS |
|
|
Image Classification (HP)
|
100% |
3280
610.0 IPS |
|
|
Image Classification (Q)
|
96% |
2324
433.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2088
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3174
51.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3636
58.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9969
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19009
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16530
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2288
181.5 IPS |
|
|
Object Detection (HP)
|
97% |
3774
300.5 IPS |
|
|
Object Detection (Q)
|
94% |
2726
217.2 IPS |
|
|
Face Detection (SP)
|
100% |
3889
46.2 IPS |
|
|
Face Detection (HP)
|
100% |
7389
87.8 IPS |
|
|
Face Detection (Q)
|
100% |
4391
52.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8371
64.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
14777
114.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
10314
80.5 IPS |
|
|
Style Transfer (SP)
|
100% |
25316
32.5 IPS |
|
|
Style Transfer (HP)
|
100% |
38517
49.5 IPS |
|
|
Style Transfer (Q)
|
96% |
31990
41.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5735
211.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6860
253.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4790
176.9 IPS |
|
|
Text Classification (SP)
|
100% |
2950
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5528
7.38 KIPS |
|
|
Text Classification (Q)
|
93% |
5406
7.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
3899
67.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6904
119.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6812
117.7 IPS |
