Mac16,10
Geekbench AI Score
4763
Single Precision Score
7863
Half Precision Score
6376
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 08 2024 08:16 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B2082) |
| 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% |
2031
377.7 IPS |
|
|
Image Classification (HP)
|
100% |
3298
613.4 IPS |
|
|
Image Classification (Q)
|
96% |
2326
434.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2123
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3210
52.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3633
58.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10064
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19054
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16589
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2309
183.2 IPS |
|
|
Object Detection (HP)
|
97% |
3819
304.1 IPS |
|
|
Object Detection (Q)
|
94% |
2748
219.1 IPS |
|
|
Face Detection (SP)
|
100% |
4019
47.8 IPS |
|
|
Face Detection (HP)
|
100% |
7612
90.4 IPS |
|
|
Face Detection (Q)
|
100% |
4546
54.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8453
65.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14891
115.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
10416
81.3 IPS |
|
|
Style Transfer (SP)
|
100% |
25383
32.6 IPS |
|
|
Style Transfer (HP)
|
100% |
38539
49.5 IPS |
|
|
Style Transfer (Q)
|
96% |
32071
41.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5764
212.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6864
253.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4783
176.6 IPS |
|
|
Text Classification (SP)
|
100% |
3075
4.10 KIPS |
|
|
Text Classification (HP)
|
100% |
5661
7.56 KIPS |
|
|
Text Classification (Q)
|
93% |
5552
7.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
3931
67.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6911
119.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7154
123.6 IPS |
