Mac16,10
Geekbench AI Score
4706
Single Precision Score
7816
Half Precision Score
6324
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 11 2024 12:30 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2019
375.5 IPS |
|
|
Image Classification (HP)
|
100% |
3294
612.6 IPS |
|
|
Image Classification (Q)
|
96% |
2324
434.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2072
33.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3211
52.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3622
58.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9993
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
18929
22.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
16561
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2287
181.4 IPS |
|
|
Object Detection (HP)
|
97% |
3753
298.7 IPS |
|
|
Object Detection (Q)
|
94% |
2735
218.0 IPS |
|
|
Face Detection (SP)
|
100% |
3926
46.6 IPS |
|
|
Face Detection (HP)
|
100% |
7527
89.4 IPS |
|
|
Face Detection (Q)
|
100% |
4455
52.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8359
64.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14748
114.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10311
80.5 IPS |
|
|
Style Transfer (SP)
|
100% |
25362
32.6 IPS |
|
|
Style Transfer (HP)
|
100% |
38492
49.5 IPS |
|
|
Style Transfer (Q)
|
96% |
31942
41.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5781
213.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6906
255.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4781
176.5 IPS |
|
|
Text Classification (SP)
|
100% |
2972
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
5429
7.25 KIPS |
|
|
Text Classification (Q)
|
93% |
5463
7.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
3898
67.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7070
122.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7004
121.0 IPS |
