MacBook Pro (16-inch, 2024)
Geekbench AI Score
5766
Single Precision Score
8852
Half Precision Score
6844
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | December 23 2024 07:42 PM |
| Views | 2 |
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% |
2077
386.3 IPS |
|
|
Image Classification (HP)
|
100% |
3023
562.1 IPS |
|
|
Image Classification (Q)
|
96% |
2176
406.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2468
40.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3500
56.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3910
63.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
18836
22.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
31547
36.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
23829
27.9 IPS |
|
|
Object Detection (SP)
|
100% |
2479
196.6 IPS |
|
|
Object Detection (HP)
|
97% |
3810
303.3 IPS |
|
|
Object Detection (Q)
|
94% |
2660
212.0 IPS |
|
|
Face Detection (SP)
|
100% |
4523
53.7 IPS |
|
|
Face Detection (HP)
|
100% |
7908
94.0 IPS |
|
|
Face Detection (Q)
|
100% |
4613
54.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8818
67.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14151
109.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
10004
78.1 IPS |
|
|
Style Transfer (SP)
|
100% |
36119
46.4 IPS |
|
|
Style Transfer (HP)
|
100% |
48892
62.9 IPS |
|
|
Style Transfer (Q)
|
96% |
38366
49.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7031
259.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9471
349.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5281
195.0 IPS |
|
|
Text Classification (SP)
|
100% |
2929
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5153
6.88 KIPS |
|
|
Text Classification (Q)
|
93% |
5129
6.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
5721
98.6 IPS |
|
|
Machine Translation (HP)
|
98% |
8705
150.4 IPS |
|
|
Machine Translation (Q)
|
98% |
8720
150.7 IPS |
