Mac16,10
Geekbench AI Score
4732
Single Precision Score
7782
Half Precision Score
6274
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | neph |
| Upload Date | November 29 2024 06:51 PM |
| Views | 2 |
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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2023
376.2 IPS |
|
|
Image Classification (HP)
|
100% |
3270
608.2 IPS |
|
|
Image Classification (Q)
|
96% |
2306
430.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2080
33.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3114
50.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3610
58.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10044
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19019
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16516
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2284
181.2 IPS |
|
|
Object Detection (HP)
|
97% |
3763
299.6 IPS |
|
|
Object Detection (Q)
|
94% |
2687
214.2 IPS |
|
|
Face Detection (SP)
|
100% |
3953
47.0 IPS |
|
|
Face Detection (HP)
|
100% |
7538
89.6 IPS |
|
|
Face Detection (Q)
|
100% |
4402
52.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8347
64.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14703
113.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
10253
80.0 IPS |
|
|
Style Transfer (SP)
|
100% |
25295
32.5 IPS |
|
|
Style Transfer (HP)
|
100% |
38390
49.4 IPS |
|
|
Style Transfer (Q)
|
96% |
31778
41.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5877
217.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6911
255.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4772
176.2 IPS |
|
|
Text Classification (SP)
|
100% |
3014
4.02 KIPS |
|
|
Text Classification (HP)
|
100% |
5415
7.23 KIPS |
|
|
Text Classification (Q)
|
93% |
5388
7.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
3948
68.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7021
121.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6938
119.9 IPS |
