MacBook Pro (16-inch, 2024)
Geekbench AI Score
5403
Single Precision Score
9003
Half Precision Score
6954
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | June 27 2025 12:15 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
2077
386.3 IPS |
|
|
Image Classification (HP)
|
100% |
3050
567.1 IPS |
|
|
Image Classification (Q)
|
96% |
2183
407.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2275
36.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3386
54.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3905
63.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
17329
20.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
32110
37.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
24292
28.5 IPS |
|
|
Object Detection (SP)
|
100% |
2496
198.0 IPS |
|
|
Object Detection (HP)
|
97% |
3855
306.9 IPS |
|
|
Object Detection (Q)
|
94% |
2670
212.8 IPS |
|
|
Face Detection (SP)
|
100% |
4659
55.4 IPS |
|
|
Face Detection (HP)
|
100% |
7926
94.2 IPS |
|
|
Face Detection (Q)
|
100% |
4624
54.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8619
66.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14604
112.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10270
80.2 IPS |
|
|
Style Transfer (SP)
|
100% |
25943
33.3 IPS |
|
|
Style Transfer (HP)
|
100% |
51486
66.2 IPS |
|
|
Style Transfer (Q)
|
96% |
38982
50.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6001
221.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10021
370.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5672
209.4 IPS |
|
|
Text Classification (SP)
|
100% |
2912
3.89 KIPS |
|
|
Text Classification (HP)
|
100% |
5265
7.03 KIPS |
|
|
Text Classification (Q)
|
93% |
5233
7.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
5699
98.2 IPS |
|
|
Machine Translation (HP)
|
98% |
8705
150.4 IPS |
|
|
Machine Translation (Q)
|
98% |
8710
150.5 IPS |
