Mac mini m4 Mac16,10
Geekbench AI Score
8584
Single Precision Score
10593
Half Precision Score
9563
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Willian |
| Upload Date | November 08 2024 08:50 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
4724
878.5 IPS |
|
|
Image Classification (HP)
|
100% |
5182
963.7 IPS |
|
|
Image Classification (Q)
|
97% |
4495
838.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
4834
78.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
7056
114.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
7610
123.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
30057
35.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
32260
37.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
30713
36.0 IPS |
|
|
Object Detection (SP)
|
100% |
5016
397.9 IPS |
|
|
Object Detection (HP)
|
100% |
5531
438.7 IPS |
|
|
Object Detection (Q)
|
91% |
4703
375.8 IPS |
|
|
Face Detection (SP)
|
100% |
12123
144.0 IPS |
|
|
Face Detection (HP)
|
100% |
16326
194.0 IPS |
|
|
Face Detection (Q)
|
100% |
12317
146.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
21620
166.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
24196
186.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
20399
159.5 IPS |
|
|
Style Transfer (SP)
|
100% |
58611
75.3 IPS |
|
|
Style Transfer (HP)
|
100% |
72553
93.3 IPS |
|
|
Style Transfer (Q)
|
96% |
68030
87.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12939
477.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13722
506.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11017
406.8 IPS |
|
|
Text Classification (SP)
|
100% |
3033
4.05 KIPS |
|
|
Text Classification (HP)
|
100% |
5375
7.17 KIPS |
|
|
Text Classification (Q)
|
93% |
5501
7.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
1047
18.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1291
22.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1251
21.6 IPS |
