MacBook Pro (14-inch, 2024)
Geekbench AI Score
5730
Single Precision Score
8937
Half Precision Score
6870
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | richh- |
| Upload Date | February 23 2025 04:00 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| Model | MacBook Pro (14-inch, 2024) |
| Model ID | Mac16,8 |
| Motherboard | Mac16,8 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.08 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2122
394.7 IPS |
|
|
Image Classification (HP)
|
100% |
3092
575.0 IPS |
|
|
Image Classification (Q)
|
96% |
2166
404.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2487
40.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3567
57.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3845
62.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
18586
21.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
31554
36.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
24401
28.6 IPS |
|
|
Object Detection (SP)
|
100% |
2460
195.1 IPS |
|
|
Object Detection (HP)
|
97% |
3892
309.9 IPS |
|
|
Object Detection (Q)
|
94% |
2676
213.3 IPS |
|
|
Face Detection (SP)
|
100% |
4457
53.0 IPS |
|
|
Face Detection (HP)
|
100% |
7622
90.6 IPS |
|
|
Face Detection (Q)
|
100% |
4380
52.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8463
65.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14653
113.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9858
76.9 IPS |
|
|
Style Transfer (SP)
|
100% |
36345
46.7 IPS |
|
|
Style Transfer (HP)
|
100% |
48800
62.7 IPS |
|
|
Style Transfer (Q)
|
96% |
38103
49.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7001
258.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9596
354.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5678
209.7 IPS |
|
|
Text Classification (SP)
|
100% |
2954
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5267
7.03 KIPS |
|
|
Text Classification (Q)
|
93% |
5273
7.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
5581
96.1 IPS |
|
|
Machine Translation (HP)
|
98% |
8713
150.5 IPS |
|
|
Machine Translation (Q)
|
98% |
8753
151.3 IPS |
