MacBook Pro M4 Base (14-inch, 2024) - CPU AI Test MacBook Pro (14-inch, 2024)
Geekbench AI Score
4870
Single Precision Score
7926
Half Precision Score
6371
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | dewasiuk |
| Upload Date | September 18 2025 08:12 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.7 (Build 24G222) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2093
389.2 IPS |
|
|
Image Classification (HP)
|
100% |
3333
619.8 IPS |
|
|
Image Classification (Q)
|
96% |
2334
435.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2251
36.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3366
54.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3704
60.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9923
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19399
22.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16716
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
2458
194.9 IPS |
|
|
Object Detection (HP)
|
97% |
3810
303.3 IPS |
|
|
Object Detection (Q)
|
94% |
2735
218.0 IPS |
|
|
Face Detection (SP)
|
100% |
4252
50.5 IPS |
|
|
Face Detection (HP)
|
100% |
7673
91.2 IPS |
|
|
Face Detection (Q)
|
100% |
4418
52.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8669
66.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14681
113.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10273
80.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21796
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
38767
49.8 IPS |
|
|
Style Transfer (Q)
|
96% |
32087
41.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6095
225.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6985
257.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5038
186.0 IPS |
|
|
Text Classification (SP)
|
100% |
3036
4.05 KIPS |
|
|
Text Classification (HP)
|
100% |
5496
7.34 KIPS |
|
|
Text Classification (Q)
|
93% |
5429
7.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
4397
75.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7044
121.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7005
121.1 IPS |
