Mac mini m4 Mac16,10
Geekbench AI Score
4710
Single Precision Score
7592
Half Precision Score
6219
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Willian |
| Upload Date | November 08 2024 08:54 PM |
| Views | 155 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B2083) |
| Model | Mac16,10 |
| 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% |
2021
375.9 IPS |
|
|
Image Classification (HP)
|
100% |
3111
578.6 IPS |
|
|
Image Classification (Q)
|
96% |
2303
430.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2106
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3232
52.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3549
57.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10021
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
18940
22.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
16462
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2274
180.4 IPS |
|
|
Object Detection (HP)
|
97% |
3688
293.6 IPS |
|
|
Object Detection (Q)
|
94% |
2576
205.4 IPS |
|
|
Face Detection (SP)
|
100% |
3853
45.8 IPS |
|
|
Face Detection (HP)
|
100% |
7424
88.2 IPS |
|
|
Face Detection (Q)
|
100% |
4393
52.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8150
62.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14131
109.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
10207
79.7 IPS |
|
|
Style Transfer (SP)
|
100% |
25292
32.5 IPS |
|
|
Style Transfer (HP)
|
100% |
38102
49.0 IPS |
|
|
Style Transfer (Q)
|
96% |
30299
39.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5875
216.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6773
250.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4805
177.4 IPS |
|
|
Text Classification (SP)
|
100% |
3061
4.09 KIPS |
|
|
Text Classification (HP)
|
100% |
5385
7.19 KIPS |
|
|
Text Classification (Q)
|
93% |
5548
7.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
3882
66.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6220
107.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6897
119.2 IPS |
