Mac mini 2024 (M4) Mac16,10
Geekbench AI Score
4738
Single Precision Score
7833
Half Precision Score
6346
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | MST36-JP |
| Upload Date | November 22 2024 02:04 PM |
| Views | 24 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B2091) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2035
378.4 IPS |
|
|
Image Classification (HP)
|
100% |
3294
612.5 IPS |
|
|
Image Classification (Q)
|
96% |
2323
433.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2138
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3223
52.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3673
59.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10040
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19003
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16569
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2306
182.9 IPS |
|
|
Object Detection (HP)
|
97% |
3786
301.4 IPS |
|
|
Object Detection (Q)
|
94% |
2750
219.2 IPS |
|
|
Face Detection (SP)
|
100% |
3984
47.3 IPS |
|
|
Face Detection (HP)
|
100% |
7603
90.3 IPS |
|
|
Face Detection (Q)
|
100% |
4498
53.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8407
64.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14840
114.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
10382
81.0 IPS |
|
|
Style Transfer (SP)
|
100% |
25381
32.6 IPS |
|
|
Style Transfer (HP)
|
100% |
38476
49.5 IPS |
|
|
Style Transfer (Q)
|
96% |
32021
41.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5759
212.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6759
249.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4788
176.8 IPS |
|
|
Text Classification (SP)
|
100% |
2955
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5614
7.49 KIPS |
|
|
Text Classification (Q)
|
93% |
5490
7.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3917
67.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6919
119.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6932
119.8 IPS |
