Mac16,1
Geekbench AI Score
4749
Single Precision Score
7828
Half Precision Score
6358
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Digiato |
| Upload Date | November 27 2024 02:03 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B2091) |
| Model | Mac16,1 |
| Model ID | Mac16,1 |
| Motherboard | Mac16,1 |
| 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% |
2020
375.6 IPS |
|
|
Image Classification (HP)
|
100% |
3294
612.5 IPS |
|
|
Image Classification (Q)
|
96% |
2325
434.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2202
35.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3372
54.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3776
61.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10052
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19018
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16564
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2299
182.3 IPS |
|
|
Object Detection (HP)
|
97% |
3822
304.3 IPS |
|
|
Object Detection (Q)
|
94% |
2757
219.7 IPS |
|
|
Face Detection (SP)
|
100% |
3954
47.0 IPS |
|
|
Face Detection (HP)
|
100% |
7528
89.4 IPS |
|
|
Face Detection (Q)
|
100% |
4421
52.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8375
64.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
14754
114.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
10317
80.5 IPS |
|
|
Style Transfer (SP)
|
100% |
25466
32.7 IPS |
|
|
Style Transfer (HP)
|
100% |
38776
49.8 IPS |
|
|
Style Transfer (Q)
|
96% |
32037
41.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5780
213.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6649
245.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4801
177.3 IPS |
|
|
Text Classification (SP)
|
100% |
2964
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
5438
7.26 KIPS |
|
|
Text Classification (Q)
|
93% |
5596
7.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
3934
67.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6880
118.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6868
118.7 IPS |
