Mac16,3
Geekbench AI Score
7988
Single Precision Score
9400
Half Precision Score
8448
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 06 2024 02:43 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4570
849.8 IPS |
|
|
Image Classification (HP)
|
100% |
4879
907.4 IPS |
|
|
Image Classification (Q)
|
97% |
4236
790.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
4874
79.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
6748
109.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
7300
118.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
28539
33.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
30116
35.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
28731
33.7 IPS |
|
|
Object Detection (SP)
|
100% |
4799
380.6 IPS |
|
|
Object Detection (HP)
|
100% |
5257
417.0 IPS |
|
|
Object Detection (Q)
|
91% |
4467
357.0 IPS |
|
|
Face Detection (SP)
|
100% |
12676
150.6 IPS |
|
|
Face Detection (HP)
|
100% |
15651
186.0 IPS |
|
|
Face Detection (Q)
|
100% |
11214
133.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
20939
161.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
22302
171.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
18853
147.4 IPS |
|
|
Style Transfer (SP)
|
100% |
56303
72.4 IPS |
|
|
Style Transfer (HP)
|
100% |
68649
88.2 IPS |
|
|
Style Transfer (Q)
|
96% |
63956
82.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11862
438.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12692
468.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10406
384.2 IPS |
|
|
Text Classification (SP)
|
100% |
3024
4.04 KIPS |
|
|
Text Classification (HP)
|
100% |
5509
7.35 KIPS |
|
|
Text Classification (Q)
|
93% |
5519
7.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
647
11.1 IPS |
|
|
Machine Translation (HP)
|
100% |
617
10.6 IPS |
|
|
Machine Translation (Q)
|
98% |
601
10.4 IPS |
