Mac16,1
Geekbench AI Score
4745
Single Precision Score
7834
Half Precision Score
6319
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | gauravtab1 |
| Upload Date | December 18 2024 01:08 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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% |
2036
378.7 IPS |
|
|
Image Classification (HP)
|
100% |
3288
611.4 IPS |
|
|
Image Classification (Q)
|
96% |
2315
432.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2194
35.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3407
55.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3763
61.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10015
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19015
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16570
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2295
182.0 IPS |
|
|
Object Detection (HP)
|
97% |
3804
302.8 IPS |
|
|
Object Detection (Q)
|
94% |
2742
218.6 IPS |
|
|
Face Detection (SP)
|
100% |
4034
47.9 IPS |
|
|
Face Detection (HP)
|
100% |
7683
91.3 IPS |
|
|
Face Detection (Q)
|
100% |
4476
53.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8374
64.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
14802
114.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
10316
80.5 IPS |
|
|
Style Transfer (SP)
|
100% |
25430
32.7 IPS |
|
|
Style Transfer (HP)
|
100% |
38585
49.6 IPS |
|
|
Style Transfer (Q)
|
96% |
31723
40.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5735
211.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6661
246.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4786
176.7 IPS |
|
|
Text Classification (SP)
|
100% |
2951
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5339
7.13 KIPS |
|
|
Text Classification (Q)
|
93% |
5277
7.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
3880
66.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6887
119.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6942
120.0 IPS |
