MacBook Pro（14-inch,M4 2024）/M4 MacBook Pro (14-inch, 2024)
Geekbench AI Score
4958
Single Precision Score
8028
Half Precision Score
6409
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | idanbo |
| Upload Date | October 17 2025 05:20 PM |
| Views | 10 |
| Notes | MacBook Pro（14-inch,M4 2024）/M4 10Core CPU/10Core GPU/16GB/1TB SSD |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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% |
2079
386.7 IPS |
|
|
Image Classification (HP)
|
100% |
3356
624.0 IPS |
|
|
Image Classification (Q)
|
96% |
2325
434.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2176
35.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3292
53.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3548
57.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10102
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19459
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16623
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2416
191.6 IPS |
|
|
Object Detection (HP)
|
97% |
3795
302.1 IPS |
|
|
Object Detection (Q)
|
94% |
2701
215.3 IPS |
|
|
Face Detection (SP)
|
100% |
4225
50.2 IPS |
|
|
Face Detection (HP)
|
100% |
7633
90.7 IPS |
|
|
Face Detection (Q)
|
100% |
4393
52.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8466
65.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
13997
108.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9857
76.9 IPS |
|
|
Style Transfer (SP)
|
100% |
24274
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
38621
49.6 IPS |
|
|
Style Transfer (Q)
|
96% |
31666
40.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6074
224.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7096
262.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4978
183.8 IPS |
|
|
Text Classification (SP)
|
100% |
3407
4.55 KIPS |
|
|
Text Classification (HP)
|
99% |
5811
7.76 KIPS |
|
|
Text Classification (Q)
|
93% |
5796
7.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
4528
78.0 IPS |
|
|
Machine Translation (HP)
|
98% |
8018
138.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7980
137.9 IPS |
