MacBook Pro (14-inch, 2024)
Geekbench AI Score
4760
Single Precision Score
7833
Half Precision Score
6332
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | December 23 2024 07:52 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| Model | MacBook Pro (14-inch, 2024) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2022
376.1 IPS |
|
|
Image Classification (HP)
|
100% |
3314
616.3 IPS |
|
|
Image Classification (Q)
|
96% |
2335
436.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2210
35.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3423
55.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3772
61.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10042
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19021
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16563
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2292
181.8 IPS |
|
|
Object Detection (HP)
|
97% |
3803
302.8 IPS |
|
|
Object Detection (Q)
|
94% |
2739
218.4 IPS |
|
|
Face Detection (SP)
|
100% |
3943
46.9 IPS |
|
|
Face Detection (HP)
|
100% |
7530
89.5 IPS |
|
|
Face Detection (Q)
|
100% |
4400
52.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8343
64.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14748
114.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10296
80.4 IPS |
|
|
Style Transfer (SP)
|
100% |
25362
32.6 IPS |
|
|
Style Transfer (HP)
|
100% |
38527
49.5 IPS |
|
|
Style Transfer (Q)
|
96% |
31984
41.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5873
216.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6644
245.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4796
177.1 IPS |
|
|
Text Classification (SP)
|
100% |
3023
4.03 KIPS |
|
|
Text Classification (HP)
|
100% |
5478
7.31 KIPS |
|
|
Text Classification (Q)
|
93% |
5456
7.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
3922
67.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6805
117.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6845
118.3 IPS |
