MacBook Pro (14-inch, 2024)
Geekbench AI Score
4779
Single Precision Score
7801
Half Precision Score
6320
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | nisizaka |
| Upload Date | March 31 2025 01:33 AM |
| Views | 3 |
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% |
2022
376.0 IPS |
|
|
Image Classification (HP)
|
100% |
3312
615.8 IPS |
|
|
Image Classification (Q)
|
96% |
2335
436.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2201
35.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3382
54.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3771
61.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10063
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19002
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16578
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2291
181.7 IPS |
|
|
Object Detection (HP)
|
97% |
3786
301.4 IPS |
|
|
Object Detection (Q)
|
94% |
2747
218.9 IPS |
|
|
Face Detection (SP)
|
100% |
3967
47.1 IPS |
|
|
Face Detection (HP)
|
100% |
7400
87.9 IPS |
|
|
Face Detection (Q)
|
100% |
4404
52.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8366
64.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
14773
114.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
10311
80.5 IPS |
|
|
Style Transfer (SP)
|
100% |
25356
32.6 IPS |
|
|
Style Transfer (HP)
|
100% |
38510
49.5 IPS |
|
|
Style Transfer (Q)
|
96% |
31968
41.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5840
215.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6656
245.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4798
177.2 IPS |
|
|
Text Classification (SP)
|
100% |
3132
4.18 KIPS |
|
|
Text Classification (HP)
|
100% |
5455
7.28 KIPS |
|
|
Text Classification (Q)
|
93% |
5360
7.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
3938
67.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6779
117.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6794
117.4 IPS |
