MacBook Pro (14-inch, 2024)
Geekbench AI Score
4805
Single Precision Score
7875
Half Precision Score
6330
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | shafnitz |
| Upload Date | September 15 2025 06:10 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2076
386.1 IPS |
|
|
Image Classification (HP)
|
100% |
3318
617.0 IPS |
|
|
Image Classification (Q)
|
96% |
2327
434.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2221
36.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3335
54.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3658
59.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9811
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
19322
22.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
16582
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2442
193.7 IPS |
|
|
Object Detection (HP)
|
97% |
3804
302.8 IPS |
|
|
Object Detection (Q)
|
94% |
2718
216.6 IPS |
|
|
Face Detection (SP)
|
100% |
4158
49.4 IPS |
|
|
Face Detection (HP)
|
100% |
7388
87.8 IPS |
|
|
Face Detection (Q)
|
100% |
4299
51.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8589
66.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14554
112.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10193
79.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21023
27.0 IPS |
|
|
Style Transfer (HP)
|
100% |
38365
49.3 IPS |
|
|
Style Transfer (Q)
|
96% |
31803
41.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5981
220.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7066
260.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5019
185.3 IPS |
|
|
Text Classification (SP)
|
100% |
3002
4.01 KIPS |
|
|
Text Classification (HP)
|
100% |
5568
7.43 KIPS |
|
|
Text Classification (Q)
|
93% |
5507
7.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
4411
76.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6953
120.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6996
120.9 IPS |
