MacBook Pro (16-inch, 2024)
Geekbench AI Score
5772
Single Precision Score
8951
Half Precision Score
6929
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | Chineezze |
| Upload Date | March 18 2025 02:22 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2076
386.0 IPS |
|
|
Image Classification (HP)
|
100% |
3017
561.1 IPS |
|
|
Image Classification (Q)
|
96% |
2184
407.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2447
39.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3453
56.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3904
63.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
18893
22.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
31840
37.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
24439
28.6 IPS |
|
|
Object Detection (SP)
|
100% |
2476
196.4 IPS |
|
|
Object Detection (HP)
|
97% |
3827
304.7 IPS |
|
|
Object Detection (Q)
|
94% |
2662
212.2 IPS |
|
|
Face Detection (SP)
|
100% |
4615
54.8 IPS |
|
|
Face Detection (HP)
|
100% |
8063
95.8 IPS |
|
|
Face Detection (Q)
|
100% |
4716
56.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8802
67.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14739
113.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10418
81.3 IPS |
|
|
Style Transfer (SP)
|
100% |
35822
46.1 IPS |
|
|
Style Transfer (HP)
|
100% |
50770
65.3 IPS |
|
|
Style Transfer (Q)
|
96% |
39762
51.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7071
261.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9455
349.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5197
191.9 IPS |
|
|
Text Classification (SP)
|
100% |
2933
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5229
6.98 KIPS |
|
|
Text Classification (Q)
|
93% |
5177
6.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
5731
98.7 IPS |
|
|
Machine Translation (HP)
|
98% |
8721
150.7 IPS |
|
|
Machine Translation (Q)
|
98% |
8751
151.2 IPS |
