MacBook Pro (14-inch, 2024)
Geekbench AI Score
5901
Single Precision Score
9130
Half Precision Score
7018
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | teotwawk |
| Upload Date | March 20 2025 06:05 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| Model | MacBook Pro (14-inch, 2024) |
| Model ID | Mac16,8 |
| Motherboard | Mac16,8 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2169
403.4 IPS |
|
|
Image Classification (HP)
|
100% |
3156
586.8 IPS |
|
|
Image Classification (Q)
|
96% |
2215
413.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2631
42.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3811
61.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3948
64.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
18865
22.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
30796
35.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
23937
28.1 IPS |
|
|
Object Detection (SP)
|
100% |
2545
201.9 IPS |
|
|
Object Detection (HP)
|
97% |
3953
314.7 IPS |
|
|
Object Detection (Q)
|
94% |
2734
217.9 IPS |
|
|
Face Detection (SP)
|
100% |
4643
55.2 IPS |
|
|
Face Detection (HP)
|
100% |
7840
93.2 IPS |
|
|
Face Detection (Q)
|
100% |
4708
55.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8884
68.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14355
111.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10320
80.6 IPS |
|
|
Style Transfer (SP)
|
100% |
35877
46.1 IPS |
|
|
Style Transfer (HP)
|
100% |
50052
64.3 IPS |
|
|
Style Transfer (Q)
|
96% |
38996
50.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7246
267.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9805
362.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5420
200.1 IPS |
|
|
Text Classification (SP)
|
100% |
2958
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
5412
7.22 KIPS |
|
|
Text Classification (Q)
|
93% |
5367
7.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
5893
101.5 IPS |
|
|
Machine Translation (HP)
|
98% |
9198
158.9 IPS |
|
|
Machine Translation (Q)
|
98% |
9192
158.8 IPS |
