Mac16,3
Geekbench AI Score
4676
Single Precision Score
7742
Half Precision Score
6260
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 13 2024 04:34 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B2083) |
| Model | Mac16,3 |
| Model ID | Mac16,3 |
| Motherboard | Mac16,3 |
| 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% |
2003
372.5 IPS |
|
|
Image Classification (HP)
|
100% |
3278
609.6 IPS |
|
|
Image Classification (Q)
|
96% |
2309
431.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2089
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3180
51.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3611
58.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9852
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
19024
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16455
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2265
179.6 IPS |
|
|
Object Detection (HP)
|
97% |
3748
298.4 IPS |
|
|
Object Detection (Q)
|
94% |
2678
213.4 IPS |
|
|
Face Detection (SP)
|
100% |
3840
45.6 IPS |
|
|
Face Detection (HP)
|
100% |
7339
87.2 IPS |
|
|
Face Detection (Q)
|
100% |
4339
51.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8278
63.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14601
112.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10169
79.4 IPS |
|
|
Style Transfer (SP)
|
100% |
24953
32.1 IPS |
|
|
Style Transfer (HP)
|
100% |
38078
49.0 IPS |
|
|
Style Transfer (Q)
|
96% |
31490
40.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5873
216.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6738
248.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4782
176.6 IPS |
|
|
Text Classification (SP)
|
100% |
2944
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
5533
7.39 KIPS |
|
|
Text Classification (Q)
|
93% |
5518
7.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
3908
67.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6846
118.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6862
118.6 IPS |
