MacBook Pro (16-inch, 2024)
Geekbench AI Score
5809
Single Precision Score
8970
Half Precision Score
6960
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | January 02 2025 10:42 PM |
| Views | 4 |
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 | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2093
389.2 IPS |
|
|
Image Classification (HP)
|
100% |
3062
569.5 IPS |
|
|
Image Classification (Q)
|
96% |
2198
410.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2531
41.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3557
57.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3968
64.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
18970
22.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
31193
36.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
24421
28.6 IPS |
|
|
Object Detection (SP)
|
100% |
2477
196.5 IPS |
|
|
Object Detection (HP)
|
97% |
3844
306.0 IPS |
|
|
Object Detection (Q)
|
94% |
2670
212.8 IPS |
|
|
Face Detection (SP)
|
100% |
4584
54.5 IPS |
|
|
Face Detection (HP)
|
100% |
7929
94.2 IPS |
|
|
Face Detection (Q)
|
100% |
4681
55.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8849
68.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14240
110.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
10154
79.3 IPS |
|
|
Style Transfer (SP)
|
100% |
35439
45.6 IPS |
|
|
Style Transfer (HP)
|
100% |
50096
64.4 IPS |
|
|
Style Transfer (Q)
|
96% |
39345
50.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7081
261.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9732
359.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5370
198.3 IPS |
|
|
Text Classification (SP)
|
100% |
2962
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
5332
7.12 KIPS |
|
|
Text Classification (Q)
|
93% |
5276
7.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
5835
100.5 IPS |
|
|
Machine Translation (HP)
|
98% |
8798
152.0 IPS |
|
|
Machine Translation (Q)
|
98% |
8856
153.0 IPS |
