MacBook Pro (14-inch, 2024)
Geekbench AI Score
4749
Single Precision Score
7803
Half Precision Score
6322
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | lusafe |
| Upload Date | March 29 2025 12:56 AM |
| Views | 13 |
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% |
2024
376.3 IPS |
|
|
Image Classification (HP)
|
100% |
3321
617.6 IPS |
|
|
Image Classification (Q)
|
96% |
2329
435.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2178
35.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3395
55.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3749
60.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9943
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19006
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16545
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2293
181.9 IPS |
|
|
Object Detection (HP)
|
97% |
3789
301.6 IPS |
|
|
Object Detection (Q)
|
94% |
2738
218.2 IPS |
|
|
Face Detection (SP)
|
100% |
3971
47.2 IPS |
|
|
Face Detection (HP)
|
100% |
7511
89.2 IPS |
|
|
Face Detection (Q)
|
100% |
4413
52.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8228
63.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14699
113.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
10279
80.2 IPS |
|
|
Style Transfer (SP)
|
100% |
25400
32.7 IPS |
|
|
Style Transfer (HP)
|
100% |
38638
49.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31907
41.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5798
214.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6662
246.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4785
176.7 IPS |
|
|
Text Classification (SP)
|
100% |
3070
4.10 KIPS |
|
|
Text Classification (HP)
|
100% |
5441
7.26 KIPS |
|
|
Text Classification (Q)
|
93% |
5439
7.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
3938
67.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6669
115.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6851
118.4 IPS |
