Mac mini (2024)
Geekbench AI Score
4691
Single Precision Score
7773
Half Precision Score
6299
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | jordan41902348 |
| Upload Date | February 06 2025 08:36 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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% |
2011
373.9 IPS |
|
|
Image Classification (HP)
|
100% |
3290
611.7 IPS |
|
|
Image Classification (Q)
|
96% |
2307
430.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2080
33.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3200
51.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3620
58.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9939
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
18892
22.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
16540
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2284
181.2 IPS |
|
|
Object Detection (HP)
|
97% |
3751
298.6 IPS |
|
|
Object Detection (Q)
|
94% |
2720
216.8 IPS |
|
|
Face Detection (SP)
|
100% |
3906
46.4 IPS |
|
|
Face Detection (HP)
|
100% |
7523
89.4 IPS |
|
|
Face Detection (Q)
|
100% |
4367
51.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8357
64.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14711
113.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
10285
80.3 IPS |
|
|
Style Transfer (SP)
|
100% |
25105
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
38267
49.2 IPS |
|
|
Style Transfer (Q)
|
96% |
31891
41.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5685
209.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6884
254.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4786
176.7 IPS |
|
|
Text Classification (SP)
|
100% |
3042
4.06 KIPS |
|
|
Text Classification (HP)
|
100% |
5340
7.13 KIPS |
|
|
Text Classification (Q)
|
93% |
5573
7.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
3838
66.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6939
119.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6854
118.4 IPS |
