MacBook Pro (14-inch, 2024)
Geekbench AI Score
4986
Single Precision Score
8034
Half Precision Score
6466
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 24 2025 10:36 AM |
| Views | 4 |
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% |
2108
392.1 IPS |
|
|
Image Classification (HP)
|
100% |
3356
624.1 IPS |
|
|
Image Classification (Q)
|
96% |
2339
436.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2187
35.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3326
53.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3598
58.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10115
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19434
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16674
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2442
193.7 IPS |
|
|
Object Detection (HP)
|
97% |
3847
306.3 IPS |
|
|
Object Detection (Q)
|
94% |
2740
218.4 IPS |
|
|
Face Detection (SP)
|
100% |
4270
50.7 IPS |
|
|
Face Detection (HP)
|
100% |
7724
91.8 IPS |
|
|
Face Detection (Q)
|
100% |
4452
52.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8502
65.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
14039
108.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9917
77.4 IPS |
|
|
Style Transfer (SP)
|
100% |
24396
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38822
49.9 IPS |
|
|
Style Transfer (Q)
|
96% |
31783
41.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6095
225.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7008
258.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4962
183.2 IPS |
|
|
Text Classification (SP)
|
100% |
3403
4.54 KIPS |
|
|
Text Classification (HP)
|
99% |
5807
7.75 KIPS |
|
|
Text Classification (Q)
|
93% |
5934
7.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
4542
78.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7838
135.4 IPS |
|
|
Machine Translation (Q)
|
98% |
8046
139.0 IPS |
