MacBook Pro (14-inch, 2024)
Geekbench AI Score
4802
Single Precision Score
7902
Half Precision Score
6365
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | mohamedmedher |
| Upload Date | December 04 2025 04:54 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.7.2 (Build 24G325) |
| 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% |
1969
366.2 IPS |
|
|
Image Classification (HP)
|
100% |
3328
619.0 IPS |
|
|
Image Classification (Q)
|
96% |
2323
433.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2198
35.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3401
55.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3711
60.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9895
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
19345
22.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16699
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
2461
195.2 IPS |
|
|
Object Detection (HP)
|
97% |
3830
304.9 IPS |
|
|
Object Detection (Q)
|
94% |
2748
219.0 IPS |
|
|
Face Detection (SP)
|
100% |
4253
50.5 IPS |
|
|
Face Detection (HP)
|
100% |
7398
87.9 IPS |
|
|
Face Detection (Q)
|
100% |
4472
53.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8696
67.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14730
113.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10327
80.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21577
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
38674
49.7 IPS |
|
|
Style Transfer (Q)
|
96% |
32157
41.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6053
223.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7073
261.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5026
185.6 IPS |
|
|
Text Classification (SP)
|
100% |
2915
3.89 KIPS |
|
|
Text Classification (HP)
|
100% |
5458
7.28 KIPS |
|
|
Text Classification (Q)
|
93% |
5284
7.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
4395
75.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6965
120.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7006
121.1 IPS |
