MacBook Pro (16-inch, 2024)
Geekbench AI Score
5757
Single Precision Score
8846
Half Precision Score
6865
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | mingchang137 |
| Upload Date | January 05 2025 09:24 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| Model | MacBook Pro (16-inch, 2024) |
| Model ID | Mac16,7 |
| Motherboard | Mac16,7 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2080
386.9 IPS |
|
|
Image Classification (HP)
|
100% |
3035
564.4 IPS |
|
|
Image Classification (Q)
|
96% |
2186
408.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2435
39.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3441
55.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3946
64.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
18982
22.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
30817
36.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
24138
28.3 IPS |
|
|
Object Detection (SP)
|
100% |
2476
196.4 IPS |
|
|
Object Detection (HP)
|
97% |
3814
303.6 IPS |
|
|
Object Detection (Q)
|
94% |
2648
211.1 IPS |
|
|
Face Detection (SP)
|
100% |
4546
54.0 IPS |
|
|
Face Detection (HP)
|
100% |
7873
93.6 IPS |
|
|
Face Detection (Q)
|
100% |
4633
55.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8851
68.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14323
110.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
10184
79.5 IPS |
|
|
Style Transfer (SP)
|
100% |
35424
45.5 IPS |
|
|
Style Transfer (HP)
|
100% |
49977
64.2 IPS |
|
|
Style Transfer (Q)
|
96% |
38520
49.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7027
259.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9464
349.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5201
192.0 IPS |
|
|
Text Classification (SP)
|
100% |
2917
3.89 KIPS |
|
|
Text Classification (HP)
|
100% |
5154
6.88 KIPS |
|
|
Text Classification (Q)
|
93% |
5189
6.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
5757
99.2 IPS |
|
|
Machine Translation (HP)
|
98% |
8696
150.3 IPS |
|
|
Machine Translation (Q)
|
98% |
8601
148.6 IPS |
