[macOS 15.3.2] MacBook Pro (14-inch, 2024) MacBook Pro (14-inch, 2024)
Geekbench AI Score
4750
Single Precision Score
7863
Half Precision Score
6362
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | nuonuo |
| Upload Date | March 26 2025 07:25 PM |
| Views | 6 |
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% |
2031
377.6 IPS |
|
|
Image Classification (HP)
|
100% |
3299
613.4 IPS |
|
|
Image Classification (Q)
|
96% |
2321
433.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2215
35.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3383
54.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3775
61.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10040
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19014
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16578
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2288
181.5 IPS |
|
|
Object Detection (HP)
|
97% |
3821
304.2 IPS |
|
|
Object Detection (Q)
|
94% |
2749
219.1 IPS |
|
|
Face Detection (SP)
|
100% |
3997
47.5 IPS |
|
|
Face Detection (HP)
|
100% |
7605
90.4 IPS |
|
|
Face Detection (Q)
|
100% |
4481
53.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8395
64.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
14782
114.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10365
80.9 IPS |
|
|
Style Transfer (SP)
|
100% |
25467
32.7 IPS |
|
|
Style Transfer (HP)
|
100% |
38759
49.8 IPS |
|
|
Style Transfer (Q)
|
96% |
32104
41.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5769
213.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6643
245.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4799
177.2 IPS |
|
|
Text Classification (SP)
|
100% |
2928
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5687
7.59 KIPS |
|
|
Text Classification (Q)
|
93% |
5587
7.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
3924
67.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6774
117.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6814
117.8 IPS |
