[macOS 15.3.2] MacBook Pro (14-inch, 2024) MacBook Pro (14-inch, 2024)
Geekbench AI Score
4753
Single Precision Score
7813
Half Precision Score
6363
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | nuonuo |
| Upload Date | March 26 2025 07:21 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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% |
2030
377.5 IPS |
|
|
Image Classification (HP)
|
100% |
3311
615.8 IPS |
|
|
Image Classification (Q)
|
96% |
2325
434.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2208
35.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3365
54.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3777
61.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9996
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19017
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16557
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2287
181.4 IPS |
|
|
Object Detection (HP)
|
97% |
3802
302.7 IPS |
|
|
Object Detection (Q)
|
94% |
2755
219.6 IPS |
|
|
Face Detection (SP)
|
100% |
4022
47.8 IPS |
|
|
Face Detection (HP)
|
100% |
7620
90.5 IPS |
|
|
Face Detection (Q)
|
100% |
4470
53.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8386
64.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14816
114.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10373
81.0 IPS |
|
|
Style Transfer (SP)
|
100% |
25433
32.7 IPS |
|
|
Style Transfer (HP)
|
100% |
38657
49.7 IPS |
|
|
Style Transfer (Q)
|
96% |
32051
41.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5764
212.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6684
246.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4808
177.5 IPS |
|
|
Text Classification (SP)
|
100% |
2948
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5278
7.04 KIPS |
|
|
Text Classification (Q)
|
93% |
5555
7.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
3944
67.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6838
118.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6850
118.4 IPS |
