MacBook Pro (16-inch, 2024)
Geekbench AI Score
5768
Single Precision Score
8822
Half Precision Score
6901
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | gesposito |
| Upload Date | January 15 2025 05:46 PM |
| Views | 3 |
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% |
2079
386.6 IPS |
|
|
Image Classification (HP)
|
100% |
3024
562.4 IPS |
|
|
Image Classification (Q)
|
96% |
2182
407.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2469
40.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3480
56.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3948
64.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
18913
22.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
30909
36.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
24187
28.3 IPS |
|
|
Object Detection (SP)
|
100% |
2482
196.8 IPS |
|
|
Object Detection (HP)
|
97% |
3825
304.5 IPS |
|
|
Object Detection (Q)
|
94% |
2655
211.6 IPS |
|
|
Face Detection (SP)
|
100% |
4567
54.3 IPS |
|
|
Face Detection (HP)
|
100% |
7783
92.5 IPS |
|
|
Face Detection (Q)
|
100% |
4618
54.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8848
68.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14098
109.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10023
78.2 IPS |
|
|
Style Transfer (SP)
|
100% |
35533
45.7 IPS |
|
|
Style Transfer (HP)
|
100% |
49053
63.1 IPS |
|
|
Style Transfer (Q)
|
96% |
38569
49.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6998
258.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9472
349.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5235
193.3 IPS |
|
|
Text Classification (SP)
|
100% |
2929
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5166
6.90 KIPS |
|
|
Text Classification (Q)
|
93% |
5417
7.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
5757
99.2 IPS |
|
|
Machine Translation (HP)
|
98% |
8722
150.7 IPS |
|
|
Machine Translation (Q)
|
98% |
8757
151.3 IPS |
