MacBook Pro (16-inch, 2024)
Geekbench AI Score
5381
Single Precision Score
8887
Half Precision Score
6934
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | June 17 2025 10:15 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2064
383.8 IPS |
|
|
Image Classification (HP)
|
100% |
3011
560.0 IPS |
|
|
Image Classification (Q)
|
96% |
2170
405.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2280
37.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3336
54.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3919
63.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
17486
20.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
32098
37.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
24086
28.2 IPS |
|
|
Object Detection (SP)
|
100% |
2489
197.5 IPS |
|
|
Object Detection (HP)
|
97% |
3817
303.9 IPS |
|
|
Object Detection (Q)
|
94% |
2655
211.6 IPS |
|
|
Face Detection (SP)
|
100% |
4652
55.3 IPS |
|
|
Face Detection (HP)
|
100% |
7855
93.3 IPS |
|
|
Face Detection (Q)
|
100% |
4600
54.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8627
66.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
13958
107.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9949
77.7 IPS |
|
|
Style Transfer (SP)
|
100% |
25601
32.9 IPS |
|
|
Style Transfer (HP)
|
100% |
49477
63.6 IPS |
|
|
Style Transfer (Q)
|
96% |
38557
49.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5954
219.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9982
368.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5811
214.6 IPS |
|
|
Text Classification (SP)
|
100% |
2890
3.86 KIPS |
|
|
Text Classification (HP)
|
100% |
5163
6.89 KIPS |
|
|
Text Classification (Q)
|
93% |
5134
6.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
5624
96.9 IPS |
|
|
Machine Translation (HP)
|
98% |
8940
154.5 IPS |
|
|
Machine Translation (Q)
|
98% |
8976
155.1 IPS |
