MacBook Pro (16-inch, 2024) - Baba MacBook Pro 16 M4 Pro MacBook Pro (16-inch, 2024)
Geekbench AI Score
5755
Single Precision Score
8890
Half Precision Score
6897
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Rahul1987 |
| Upload Date | January 29 2025 02:28 AM |
| Views | 17 |
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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2074
385.8 IPS |
|
|
Image Classification (HP)
|
100% |
3023
562.2 IPS |
|
|
Image Classification (Q)
|
96% |
2188
408.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2454
39.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3484
56.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3926
63.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
18945
22.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
30724
35.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
23744
27.8 IPS |
|
|
Object Detection (SP)
|
100% |
2486
197.2 IPS |
|
|
Object Detection (HP)
|
97% |
3810
303.3 IPS |
|
|
Object Detection (Q)
|
94% |
2648
211.1 IPS |
|
|
Face Detection (SP)
|
100% |
4535
53.9 IPS |
|
|
Face Detection (HP)
|
100% |
7966
94.7 IPS |
|
|
Face Detection (Q)
|
100% |
4634
55.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8842
68.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14110
109.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
10111
78.9 IPS |
|
|
Style Transfer (SP)
|
100% |
35487
45.6 IPS |
|
|
Style Transfer (HP)
|
100% |
49256
63.3 IPS |
|
|
Style Transfer (Q)
|
96% |
39436
50.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6974
257.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9481
350.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5326
196.6 IPS |
|
|
Text Classification (SP)
|
100% |
2949
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5356
7.15 KIPS |
|
|
Text Classification (Q)
|
93% |
5253
7.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
5683
97.9 IPS |
|
|
Machine Translation (HP)
|
98% |
8899
153.8 IPS |
|
|
Machine Translation (Q)
|
98% |
8725
150.8 IPS |
