MacBook Pro (14-inch, 2024)
Geekbench AI Score
4781
Single Precision Score
7838
Half Precision Score
6323
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Chatzisavvas |
| Upload Date | January 10 2025 12:57 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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% |
2053
381.8 IPS |
|
|
Image Classification (HP)
|
100% |
3292
612.2 IPS |
|
|
Image Classification (Q)
|
96% |
2323
433.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2236
36.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3394
55.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3738
60.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10061
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19033
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16554
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2299
182.3 IPS |
|
|
Object Detection (HP)
|
97% |
3779
300.9 IPS |
|
|
Object Detection (Q)
|
94% |
2734
217.9 IPS |
|
|
Face Detection (SP)
|
100% |
3990
47.4 IPS |
|
|
Face Detection (HP)
|
100% |
7550
89.7 IPS |
|
|
Face Detection (Q)
|
100% |
4451
52.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8344
64.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14731
113.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10273
80.2 IPS |
|
|
Style Transfer (SP)
|
100% |
25350
32.6 IPS |
|
|
Style Transfer (HP)
|
100% |
38455
49.4 IPS |
|
|
Style Transfer (Q)
|
96% |
31878
41.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5884
217.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6693
247.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4803
177.3 IPS |
|
|
Text Classification (SP)
|
100% |
2997
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
5555
7.41 KIPS |
|
|
Text Classification (Q)
|
93% |
5404
7.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
3950
68.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6851
118.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6875
118.8 IPS |
